Micro-frontends sound amazing in theory — modular, scalable, independent. But without discipline? You end up with a pile of micro-chaos. Let’s unpack how to keep your architecture modern, cohesive, and sane in 2025. The big idea: split a massive frontend into smaller, independently deployable apps. Perfect for: 🏢 Large orgs with multiple teams 🌍 Apps that evolve quickly 🧱 Independent release cycles But it’s not free. You trade simplicity for autonomy — and that’s a cost. As teams scale, you risk: Inconsistent UI patterns Conflicting design tokens Version mismatches Slow startup times Micro-frontends should feel like one app. If users can see the boundaries, you’ve failed the illusion. Keep one UI library or Design System Repo. Tools like Storybook or Backlight e…  ( 7 min )

Introduction It’s been a while since my last post in this series about syncing Obsidian notes to Notion using Python. In the previous posts, I introduced scripts that can: Append content to existing pages (automatically copy Obsidian note content to Notion) ➡️ Link Create new pages in specific Notion databases (such as Tasks or Fleeting Notes) based on tags added in Obsidian) ➡️ Link These covered the basic automation for adding or creating pages in Notion. In this follow-up, I’ll share a smaller but practically useful improvement that enhances daily usability. The theme this time is: “Automatically finding and linking related Notion pages through relational properties.” I use a Daily Journal database in Notion that automatically generates a new page each day, named using the form…  ( 8 min )

4 ChatGPT Hacks to Halve Your Workload These four techniques will slash your AI workflow time in half: use the Prompt Reversal Technique to turn good answers into killer prompts, the 5-Minute Amplifier to repurpose one asset into multiple formats, the Red Team to have ChatGPT critique its own work, and Blueprint Scaffolding to force it to lay out reasoning step by step. Grab the free HubSpot ebook, dive into the detailed blog post, join the AI course waitlist or use the Notion Command Center to build a powerful, customizable workflow that works for any role or industry. Watch on YouTube  ( 6 min )

When you only have one account, using Git is easy—until you add more. From the straightforward scenario of one account to a complex multi-account configuration, this tutorial takes you step-by-step through the management of SSH keys and Git identities across several accounts. If you only use one Git account, life is easy. ssh-keygen -t ed25519 -C "you@example.com" Copy your public key and paste it in your account settings: cat ~/.ssh/id_ed25519.pub ssh -T git@github.com You should see something like: Hi username! You've successfully authenticated. With one account, Git will automatically use this single SSH key. You’re done. Once you manage multiple accounts, things get complicated: Personal GitHub for side projects Work Gitlab for company code Another Work Github for another compa…  ( 8 min )

When processing large batches of items through multiple LLM analyses, you quickly run into orchestration complexity. Consider a customer review pipeline that needs to: Run sentiment analysis and topic extraction (independent tasks) Generate summaries that depend on both sentiment and topics Filter spam before expensive operations Handle failures gracefully Route to different models based on cost/capability Track spending in real-time The typical progression: Sequential approach - Simple but slow: for (const review of reviews) { const sentiment = await runSentiment(review); const topics = await runTopics(review); const summary = await runSummary(review, sentiment, topics); } Parallel approach - Faster but fragile: const [sentiments, topics] = await Promise.all([ Promise.all(reviews…  ( 10 min )

When building software, testing often gets pushed to the end (or forgotten completely!). But for my project repo-contextr, I decided to do testing properly from the start. This post shares my experience writing tests and usage of the tool throughout the development process. If you are reading my blog for the first time, please visit my previous posts for a better understanding of the repo-contextr CLI tool. As this tool was built using Python, I looked for industry standard frameworks for testing within the Python ecosystem. After spending some time comparing different libraries, I selected pytest. This testing framework is straightforward to use, offers a rich feature set, and is widely adopted by the Python community. Along with the testing framework, I also integrated pytest-cov to meas…  ( 8 min )

Mulholland Drive sits at No. 6 in Sean and Amanda’s countdown of the 25 best movies of the 21st century so far. The hosts rave about David Lynch’s surreal masterpiece, Naomi Watts’s breakout turn, and all the wild conspiracy theories swirling around its twisty narrative. They highlight how Lynch effortlessly fuses Americana and classic Hollywood glamour with European surrealism and outsider-art vibes to craft a film that’s equal parts enchanting and unsettling. Watch on YouTube  ( 6 min )

Everything Wrong With Sinners In 15 Minutes Or Less is a Halloween-ready Cinema Sins video that lovingly rips into one of the year’s best genre movies—“Sinners”—while still cheering it on as a modern classic. Expect rapid-fire “sins” and witty commentary as they celebrate and critique every twist and turn. For more sinful fun, check out Cinema Sins’ website, social channels (YouTube, TikTok, Instagram), join their Discord or Reddit, fill out the poll, or support them on Patreon. This episode was penned by Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, and Daniel, with loads of extra links (including Jeremy’s book) in the description. Watch on YouTube  ( 6 min )

Everything Wrong With Thunderbolts* (The New Avengers) In 20 Minutes Or Less CinemaSins delivers its classic “everything wrong with” rundown of Thunderbolts, packing a flurry of movie sins—even admitting there’s something oddly fun about the film—into a brisk 20-minute roast. They also drop all the links you need for more sins: their website, YouTube spin-off channels, socials, a sinful poll and a Patreon page to keep the nitpicks rolling. Watch on YouTube  ( 6 min )

Predator 2 – Caravan of Garbage Review Predator 2 takes the iconic alien hunter out of the jungle and drops it into a scorching, crime-ridden L.A. with Danny Glover (and a delightfully unhinged Gary Busey) as the new lead. This 1990 sequel ditches Schwarzenegger’s jungle vibes for urban chaos, ups the stakes with a meaner Predator and leans into ’90s grit—so if you’re cool with a fresh spin on the franchise, it’s a fun ride. The Caravan of Garbage crew dishes on all the highlights (and quirks) while plugging bonus podcasts, commentaries and merch over at bigsandwich.co. Whether you came for blood sprays in alleyways or just love seeing a new Predator design, this review’s got you covered. Watch on YouTube  ( 6 min )

Predators – Caravan of Garbage takes a hard look at the 2010 return-to-roots Predator sequel, praising its rag-tag band of unwilling warriors, jungle setting and gritty, muddy showdown for finally recapturing the franchise’s primal charm—plus a few clever twists that earlier follow-ups sorely lacked. Host Mr Sunday Movies can’t help but lament that, despite Predators’ fresh energy and fan-approved status, it never got the proper follow-up it deserved. Watch on YouTube  ( 6 min )

So how does your tiny ClojureScript program transform into runnable JavaScript? (ns app.core) (println "Howdy!") First of all, you need a compiler! ClojureScript is a hosted language, which means you have to compile it into JavaScript, unless you want to ship the compiler into a browser to be able to interpret ClojureScript at runtime, which is slow and in most cases doesn't make sense (but maybe you wanna build online REPL, that's ok). This is not going to be easy. ClojureScript sits on top of JavaScript, the compiler is a library written in Clojure, which in turn hosts on JVM. This means you need Java installed, huh. I prefer to use sdkman to manage my Java installations. sdk install java Next step is to install Clojure, head over to installation guide at clojure.org. If the following…  ( 9 min )

I love this series from Drumeo, where drummers listen to a song they've never heard—without the drum parts—and then attempt to come up with their own drum parts on the spot. The series is always great, but I thought this was a particularly unique and beautiful pairing: Cirque Du Soleil Drummer Eden Bahar and "Tonight, Tonight" by The Smashing Pumpkins (with the incredible Jimmy Chamberlin on the original, of course).  ( 6 min )

Indie Artists File Class-Action Lawsuit Against Generative AI Music Companies Mikey Dorje ・ Nov 7 #ai #indie #news  ( 6 min )

Other than info on this class-action lawsuit on behalf of independent musicians, which is ongoing, this is a very insightful and great conversation between Miss Krystle, an entertainment lawyer (leading the lawsuit), artist, and public speaker known as the "Top Music Attorney" on YouTube, and Ari Herstand, the indie artist champion behind the indispensable music business resource, Ari's Take, and best-selling author of "How To Make It in the New Music Business."  ( 6 min )

Good morrow! Or good afternoon, or perhaps even a twilight-tinted, existential 'what on earth am I doing with this enormous pile of biscuits' o'clock. Whatever the time, the question is: are you paying attention to your own game design? Yes, your life. It turns out that those endlessly looping, delightfully compulsive contraptions found in digital boxes—the ones with the glowy bits and the noises—are not so alien after all. They are merely crude, silicon-based approximations of what your grey matter is already doing, only without the helpful little icons telling you that you've just earned a +1 Morale Bonus for successfully locating both socks. In games, we have the Game Loop: a beautiful, repetitive cycle. Challenge >> Action >> Reward >> Repeat. Mario spots a gap, jumps (action), avoids …  ( 8 min )

Welcome back to the Cybersecurity Weekly series! #6 we covered safe password practices and password alternatives. Artificial Intelligence (AI) is transforming threat detection and why freelancers and small businesses can finally benefit from technology that used to be available only to large enterprises. Cybercriminals are no longer hacking by hand. They’re using AI to automate phishing, malware generation, and credential theft. AI-powered security tools use pattern recognition and behavioral analytics to detect anomalies in real time. For freelancers who store client data on the cloud, or for small teams that manage multiple accounts and devices, this kind of proactive protection is becoming essential. Here’s a quick breakdown of what’s happening behind the scenes: Data Collection – AI sy…  ( 9 min )

LiveResearchBench: Putting AI Researchers to the Real‑World Test Ever wondered if an AI can dig up the latest news, facts, and expert opinions just like you do on a busy morning? Scientists have built a new challenge called LiveResearchBench that asks AI systems to answer everyday questions by searching the live web, not just relying on old data. The goal is simple: see if a digital assistant can gather up‑to‑date info from dozens of sites, stitch it together into a clear report, and point out exactly where each fact came from. It’s a breakthrough that shows where current AI shines and where it still trips up, guiding developers to build smarter, more reliable helpers. Read article comprehensive review in Paperium.net: LiveResearchBench: A Live Benchmark for User-Centric Deep Research in the Wild 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 20 min )

Mentoring shapes minds and futures. But here’s the truth I’ve learned after more than three decades on this planet, including a decade in the corporate world: not all mentoring works. Over time, I’ve come to see mentoring in two distinct shades: Cold and Warm. The Cold Shade of Mentoring The mentee listens, nods, maybe even takes notes. But without emotional investment or genuine curiosity, the learning evaporates quickly. No bond forms. The energy fades. The mentee begins to drift, unsure how to turn that knowledge into something meaningful. The result? Half-understood concepts, half-motivated people and half-baked outcomes. The Warm Shade of Mentoring In this environment, the protégé feels free to ask, explore, and challenge. There’s no fear of judgment, no hesitation to seek clarity. The relationship itself becomes a source of confidence and growth. And when that happens, learning doesn’t just transfer — it transforms. Productivity soars not because people are pushed, but because they’re inspired. My Observation We forget that the real goal of mentoring isn’t merely to pass on information but to build capability, confidence, and curiosity. The success of any project or team depends on this one simple truth: knowledge shared with genuine care multiplies; knowledge shared without connection dissolves. In the End Are we sharing wisdom, or just words? Are we helping people grow, or merely helping them finish? The answer lies in the warmth we bring because mentoring, at its best, is not a transaction. It’s a transformation. “Become a warm mentor today, to create a legacy for tomorrow !”  ( 7 min )

Hey everyone 👋 After a few weeks of feedback and polishing, LeafWiki v0.4.9 is out! This update focuses on making LeafWiki easier to start, smoother to use, and just a little more powerful. LeafWiki is a lightweight, tree-based wiki that keeps your content in plain Markdown — fast, clean, and self-hosted. It’s a single Go binary with no database or dependencies, designed for teams and individuals who want a structured, file-backed knowledge base they can fully own. Run your knowledge base in 5 minutes. Live Demo (resets hourly) GitHub Repository You can now duplicate entire pages, including all uploaded images and files. Perfect for templates or similar documents. You can now embed Mermaid.js diagrams directly inside Markdown pages using fenced code blocks: LeafWiki automatically …  ( 7 min )

🎯 4. GraphQL — The Precision Player Tired of fetching too much or too little data? 🔹 Protocol: HTTP 💡 Example: { user(id: "123") { name posts { title } } } ✅ Pros: No overfetching/underfetching ⚠️ Cons: Steeper learning curve 🏁 Best for: Flexible front-end data fetching and complex UI apps 🔔 5. WebHooks — The Reverse API WebHooks flip the script. 🔹 Style: Event-driven (HTTP POST) 💡 Example: ✅ Pros: Real-time without polling ⚠️ Cons: Security and callback validation needed 🏁 Best for: Notifications, integrations, bots 💬 6. WebSockets — The Real-Time Connection If REST is a polite request-response system, WebSockets are like an open phone line 📞. 🔹 Use cases: Chat apps, gaming, live dashboards 💡 Example: const socket = new WebSocket("wss://example.…  ( 7 min )

This vid breaks down four killer ChatGPT tricks—Prompt Reversal, the 5-Minute Amplifier, the Red Team Technique, and Blueprint Scaffolding—that can literally chop your AI workflow in half. Instead of endless prompt tuning, you'll learn to reverse-engineer winning prompts, spin one idea into multiple formats, have the AI play critic to its own work, and force it to map out its train of thought before diving in. Each hack comes with real-world examples you can copy-paste today, and they’ll work in any role or industry. Say goodbye to wasted hours and hello to next-level productivity! Watch on YouTube  ( 6 min )

Sean Fennessey and Amanda Dobbins are back with their countdown of the 21st century’s best films, landing on No. 6: David Lynch’s Mulholland Drive. They dive into why this surreal masterpiece still captivates—its dreamlike twists, fan-fueled conspiracy theories and those unforgettable Lynchian vibes. Along the way they salute Naomi Watts’s star-making turn and marvel at how Lynch fuses Americana, European surrealism, classic Hollywood glamour and off-kilter outsider art into one unforgettable ride. Watch on YouTube  ( 6 min )

Everything Wrong With Sinners In 15 Minutes Or Less Cinemasins drops a Halloween-ready quick-fire “sins” rundown of what they call one of the year’s best genre movies—cramming witty nitpicks into just 15 minutes. They’re spreading the sin-love across all their platforms: cinemasin­s.com, YouTube channels (@TVSins, @commercialsins, @cinemasinspodcastnetwork) and their Linktree for the latest updates. Writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel fuel the fun, and you can dive deeper by filling out their poll, backing them on Patreon, or joining the community on Discord and Reddit. Plus, follow the gang on Twitter, Instagram and TikTok for extra sinful insights. Watch on YouTube  ( 6 min )

TL;DR CinemaSins rolled out a new “Everything Wrong With Thunderbolts* (The New Avengers) In 20 Minutes Or Less” video, dishing out all their trademark nitpicks while admitting they’re oddly enjoying the movie. Check their site and social hubs (YouTube channels, Discord, Reddit, TikTok, Instagram), fill out their sinful poll, or back them on Patreon. Writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, and Daniel all helped cook up this roast. Watch on YouTube  ( 6 min )

The reason is that I have never used a NAS before. Typically, I would store documents on one external drive, videos on another, and pictures on a third. It was a piecemeal solution, but everything was disorganised and dispersed. I was eager to have everything in one location after purchasing a Synology DS925+. I assumed it would be a difficult task, but it was actually quite easy. After installing the drives and plugging it into the mains, I was in the Synology interface in a matter of minutes. I was able to work with it without needing to look at any instructions because it is very clear and easy to use. It just made sense. Its silence was the first shock I had to endure. When it is moving large files, it hardly makes any sounds. It is slim and well-made, and it doesn't take up much room …  ( 8 min )

Predator 2 - Caravan of Garbage offers a breezy, informal dive into the 1990 sequel that swaps Arnold’s jungle romp for Danny Glover’s heat-soaked, crime-ridden LA. You get a meaner Predator, a surprise Gary Busey cameo and enough urban chaos to keep things fresh—just don’t expect the same one-liner action hero. The Caravan of Garbage crew also points you to bigsandwich.co for bonus videos, podcasts, director commentaries and let’s-plays, plus their Twitter updates, Patreon perks, merch and more for anyone hungry for extra content. Watch on YouTube  ( 6 min )

Predators – Caravan of Garbage dives into why 2010’s Predators finally brought the franchise back to its gritty roots: a motley crew of lunatics, a dense jungle setting, muddy showdowns and fresh twists that outshined previous sequels. It’s hailed by Mr Sunday Movies (and many fans) as a much-needed return to form—shame we never got a true follow-up. Beyond the review, they plug bonus content on bigsandwich.co, an extended audio edition on YouTube, their weekly podcast, social media updates from James and Maso, plus merch and Patreon options for die-hard supporters. Watch on YouTube  ( 6 min )

APIs are the lifeblood of modern software. But here’s the thing: Not all APIs are created equal. So let’s dive deep (with some real-world examples) into the 7 API types that rule the tech world today 👇 🌍 1. REST API — The All-Rounder REST (Representational State Transfer) is the go-to for most developers. It’s stateless, lightweight, and uses simple HTTP methods like GET , POST , PUT , and DELETE. 🔹 Format: JSON 💡 Example: GET https://api.twitter.com/2/tweets ✅ Pros: Easy to build and test ⚠️ Cons: No strict contracts 🏁 Best for: Most modern web/mobile development 🧱 2. SOAP API — The Old but Reliable Workhorse SOAP (Simple Object Access Protocol) is the veteran in the API world. It’s strict, structured, and super reliable. 🔹 Format: XML ... ✅ Pros: Built-in error handling ⚠️ Cons: Verbose and heavy (XML 😩) 🏁 Best for: Mission-critical systems needing guaranteed delivery ⚡ 3. gRPC — The Speed Demon gRPC, built by Google, takes performance to another level. 🔹 Communication styles: Request-response, streaming, bidirectional 💡 Example (Service definition): service Greeter { rpc SayHello (HelloRequest) returns (HelloReply); } ✅ Pros: Extremely fast ⚠️ Cons: Harder to set up 🏁 Best for: Backend-to-backend communication and high-performance systems Other ones are covered in PART-2  ( 7 min )

Perfect, Sathish 🔥👏 I see you’ve already implemented a professional-level Repository + Unit of Work pattern — that’s excellent! You’re now coding like a real enterprise .NET backend engineer. Let’s repeat and reframe your 🧩 Day 3 — Repository & Seed Data Setup, but now using your upgraded structure (GenericRepository + UnitOfWork) so everything is clean and clear for you step-by-step 👇 DAY 3 — Repository & Seed Data Setup (with Unit of Work) 🎯 Goal ✅ Enable clean database CRUD access using IGenericRepository and IUnitOfWork Admin Role and Admin User Swagger and PostgreSQL Inside Accounting.Infrastructure, ensure this structure: Repositories/ ├── Interfaces/ │ ├── IGenericRepository.cs │ ├── IUnitOfWork.cs ├── Implementations/ │ ├── GenericRepository.cs │…  ( 8 min )

"Silence is never neutral — it always says something." We often underestimate the power of what we don’t say. The moments we choose silence. The times we tell ourselves, “It’s not worth it.” But lately, I’ve realized something that changed how I see communication — in work, relationships, and everyday life: No impression is an impression. 🕊️ The Myth of Neutrality 🤐 I used to think staying quiet was the safe, neutral choice. I believed silence meant control. Composure. Strength. But silence isn’t invisible. It’s interpretive. People will always read meaning into what you don’t say. In teams, silence during a disrespectful moment reads as approval. ✅ In friendships, silence after being hurt reads as disinterest. ❌ In workplaces, silence around poor behavior reads as…  ( 7 min )

Infrastructure as Data (IaD) Infrastructure as Data (IaD) is basically about defining your infrastructure using structured data files—stuff like YAML or JSON—instead of traditional scripts or config languages that mix in programming logic. No code, just data. Think of it as an evolution or a tighter subset of "Infrastructure as Code" (IaC). While IaC encompasses any method for managing infrastructure through code, IaD focuses on a purely declarative model. In another words you declare the desire state of your declarative manifests then let automation systems work. They’ll constantly check and enforce that what’s running matches what you described. IaD was created to solve this problem through its main mechanism: the reconciliation loop. IaD is primarily implemented in the Kubernetes eco…  ( 8 min )

This is a submission for Frontend Challenge - Halloween Edition, Perfect Landing For the Halloween Challenge, I chose to look at my favorite monster, the werewolf. Toy Photography is a hobby, so why not use it to build a landing page. Using code and photography I made a page to showcase some werewolf toys. Most are LEGO but there are a few action figures. You can see the demo at Werewolf toys on Minifig Mischief my photography page. HTML and CSS were used to build out the page. No JavaScript yet. If I can think of some thing interesting or interactive I'll add it. This is more of a show and tell page. For the photography I set up some figures in a light box and started shooting. I have a table set up in my flex office. There are also a couple of older photos. I built an information card…  ( 8 min )

Unconventional AI in Advertising: LLaMA for Creative Ad Generation While many AI libraries focus on optimizing ad performance, the lesser-known LLaMA stands out for its capabilities in generating creative ad copy. Developed by Meta AI, LLaMA is a large language model that can be leveraged for generating ad headlines, descriptions, and even entire scripts. Use Case: Real-time Ad Generation for Emerging Trends Imagine your brand is one of the first to capitalize on a new trend or event. With LLaMA, you can create a dynamic ad generation system that responds to real-time data. This system can analyze social media sentiment, news articles, and other data sources to inform ad creative, ensuring your message resonates with the audience. Why LLaMA? Unlike other libraries focused on optimization, LLaMA's language generation capabilities enable it to produce unique, high-quality ad copy that captures the essence of emerging trends. By integrating LLaMA with a real-time data feed, you can create an automated ad generation system that outperforms traditional approaches. Example: Your brand is launching a new product line inspired by a popular social media challenge. LLaMA generates a series of ad headlines and descriptions that capture the spirit of the challenge, while also highlighting the unique features of your product. The ads are pushed live in real-time, capitalizing on the trending topic and generating buzz around your brand. Innovative advertisers will find LLaMA an attractive option for generating creative ad copy that resonates with their target audience. Its language generation capabilities and integration potential make it an underrated yet powerful tool in the world of AI-driven advertising. Publicado automáticamente con IA/ML.  ( 6 min )

The XRP Ledger Smart Contracts feature is now available for developers to explore and test on AlphaNet, a dedicated development network. This groundbreaking implementation brings native Layer 1 smart contract capabilities to the XRPL, combining the familiar design patterns of EVM-style contracts with the power of XRPL's native features and transactions. Smart Contracts on the XRPL enable developers to build sophisticated decentralized applications while leveraging the ledger's proven efficiency, human-readable transaction structure, and native building blocks like payments, DEX, NFTs, and MPTs. XRPL Smart Contracts represent a new paradigm for programmability on the ledger. Unlike traditional approaches, this design provides: Permissionless deployment - No UNL approval required to deploy c…  ( 10 min )

If you are utilizing PFC or any custom datawindow object in your project, this will be extremely beneficial. You have the ability to create a custom event on the datawindow and associate it with any of the shortcuts such as Ctrl+Shift+P or similar, allowing a new window to open that displays all the properties of the datawindow. The code I am presenting here is fundamental, but you can modify it to suit your requirements. Please note that you must create window based on the variables I used in the below code. Initially, pass the datawindow for which you wish to display properties from an event or function as illustrated below - openwithparm(w_dwproperties,this) design w_dwproperties according to the variables in below code - in the w_dwproperties open() event - powerobject lpo_arg datawindow ldw_arg string ls_colcount,ls_colname,ls_concatstr int li_counter lpo_arg=Message.powerobjectparm if lpo_arg.typeof( )=datawindow! then ldw_arg=lpo_arg sle_1.text=ldw_arg.dataobject sle_2.text=ldw_arg.classname( ) mle_1.text=ldw_arg.describe('datawindow.table.select') ls_colcount=ldw_arg.describe( "DataWindow.Column.Count") for li_counter=1 to integer(ls_colcount) ls_concatstr='#'+string(li_counter)+'.name' ls_colname=ldw_arg.describe(ls_concatstr) ddlb_1.additem(ls_colname) next else end if Hope this helps!!!!!Thank you!!!!!!!!!!!  ( 6 min )

Revolutionizing AI: Recent Breakthrough in RAG Systems Deep learning has been rapidly advancing in recent years, and a key breakthrough has come in the form of Relation-Aggregation Graph (RAG) systems. These systems have the potential to change the way we design and train AI models. At the heart of RAG technology lies the ability to capture and represent complex relationships between entities within a knowledge graph. By leveraging graph neural networks, RAG systems can efficiently aggregate these relationships to generate rich representations of data. One particularly exciting development in the field has been the introduction of multimodal RAGs, which enable the integration of different types of input data, including images, text, and audio. This opens up new possibilities for tasks such as vision-and-language understanding and multimodal sentiment analysis. Concrete Detail: A recent study published in the journal Nature has demonstrated the potential of multimodal RAGs to improve object detection accuracy by as much as 15% compared to traditional graph-based models. This achievement is a testament to the power of RAG systems and their potential applications in real-world AI challenges. The future of RAG technology holds great promise, and we can expect to see more innovative applications and advancements in the coming years. Publicado automáticamente con IA/ML.  ( 6 min )

This week, I needed to add a simple hover effect to a button. Nothing fancy. Just change the background color on hover. I stared at the screen for 30 seconds. My fingers hovering over the keyboard. And I couldn't remember how to write it. Not because I'm bad at CSS. I've been building websites since 2017. I know CSS. Or I used to. The syntax just wouldn't come to me. My brain immediately went to hover:bg-blue-600. That's Tailwind. Not CSS. Then it hit me. I haven't written actual CSS in maybe two years. Everything is Tailwind now. Classes. Utilities. No stylesheets. And I'm not the only one. Tailwind has over 20 million weekly NPM downloads. That's more than Bootstrap's 4.9 million. The framework is everywhere. Your favourite sites/coding-Agents use. But here's the question nobody's asking…  ( 13 min )

🧱 Step 1 — Create Main Folder and Open Terminal 👉 Open a terminal (PowerShell / VS Code terminal) and type these commands one by one: mkdir AccountingSuite cd AccountingSuite mkdir src tests ✅ Check: After this you must have: AccountingSuite/ ├── src/ └── tests/ Now go inside src and create the projects: cd src dotnet new webapi -n Accounting.API dotnet new blazorwasm -n Accounting.UI dotnet new classlib -n Accounting.Domain dotnet new classlib -n Accounting.Infrastructure dotnet new classlib -n Accounting.Shared ✅ After this, inside src you’ll see 5 folders. “template not found”, install the correct .NET SDK or re-open terminal. cd .. dotnet new sln -n AccountingSuite dotnet sln AccountingSuite.sln add src/Accounting.API/Accounting.API.csproj dotnet sln AccountingSuite.sln add sr…  ( 8 min )

O que a AWS cuida (responsabilidade da AWS) A AWS é responsável pela segurança da nuvem, ou seja, por tudo que roda por baixo do seu EC2. Ela garante que o ambiente físico e a infraestrutura onde suas instâncias estão rodando sejam seguros, estáveis e confiáveis. Em resumo, a AWS cuida de: Data centers (energia, refrigeração, rede física, segurança, etc.) Hardware (servidores físicos, substituição de peças defeituosas, etc.) Isolamento entre clientes (garantindo que ninguém acesse o seu host físico) Conformidade e regulamentos de segurança Então, se uma máquina física falhar ou um data center precisar de manutenção, é a AWS quem entra em ação, você nem precisa se preocupar com isso. O que você cuida (responsabilidade do usuário) Agora vem a parte importante: você é responsável pela seg…  ( 7 min )

Building Better State Machines in Modern C++: CXXStateTree ZigRazor ・ Nov 7 #cpp #opensource #programming #showdev  ( 6 min )

Autonomous Mobile Robot Localization Challenge: "The Maze of Variability" Scenario: You are tasked with developing an autonomous mobile robot that can accurately localize itself within a dynamic maze of variable geometry. The maze consists of multiple intersecting corridors with varying widths and shapes, making it difficult to predict the robot's position. Constraints: Limited Sensor Suite: Your robot is equipped with a single monocular camera, a GPS receiver (with occasional signal loss), and an Inertial Measurement Unit (IMU). Dynamic Environment: The maze's geometry and obstacles change daily due to the installation of new exhibits in a museum setting. Limited Computing Resources: Your robot's onboard computer has a power consumption constraint, limiting the processing power to 10 W. R…  ( 7 min )

0) Preparation – tools you need Install .NET 10 SDK (or ask: “Which .NET SDK version should I use?”). Install Git. Install an editor (VS Code or Visual Studio). Create a GitHub account (if repo will be pushed). Ask: “Which IDE do you prefer I use? (VS Code / Visual Studio)” Expected: .NET works (dotnet --version returns a number like 7.x or 8.x or 10.x). Do: mkdir AccountingSuite cd AccountingSuite mkdir src tests What you should see: folders src/ and tests/. Ask if unsure: “Do we keep tests now or add later?” or “Where should I save the repo on my PC?” In AccountingSuite/src run: cd src dotnet new webapi -n Accounting.API dotnet new blazorwasm -n Accounting.UI dotnet new classlib -n Accounting.Domain dotnet new classlib -n Accounting.Infrastructure dotnet new classlib -n Accounting.S…  ( 9 min )

STM32F411RE Nucleo board The Cortex-M4 is the CPU core (licensed from ARM). The STM32F411 is the microcontroller chip built by ST around that core, adding flash, SRAM, GPIO, UART, timers, ADC, and other peripherals. The STM32F411RE Nucleo board is the dev board that breaks out those pins and includes an on-board ST-LINK debugger. Flash memory: 512KB SRAM: 128KB When the Cortex-M4 core comes out of reset, it doesn't start executing instructions from an arbitrary location. The ARM architecture mandates a specific, hardware-defined sequence. The processor core immediately performs two critical read operations from address 0x00000000: First, it reads the word at 0x00000000 and loads it into the Main Stack Pointer (MSP). This initializes the stack before any code runs, ensuring push and pop …  ( 9 min )

I recently watched a podcast episode where Khawaja Shams, CEO of Momento, and Kyle Davis, Developer Advocate at Valkey, talked about everything BUT performance of Valkey 9.0. "That's the first time anybody's asked me to talk about Valkey and not talk about performance," Kyle laughed when Khawaja asked him to skip the speed benchmarks. What followed was one of those conversations where you realize a seemingly simple feature opens up architectural patterns you didn't even know were possible. I didn't quite understand it at first. Kyle mentioned numbered databases in Valkey 9.0. Then he mentioned clustering and how numbered databases get a boost when used together. The terminology was throwing me off until I heard it explained a different way. Kyle referred to numbered databases as "namespac…  ( 10 min )

A dream to learn, create, and build together Hi everyone! 👋 I’m Ashfin Ahmed K.P, a 15-year-old schoolboy from India, currently studying in 9th grade. I’m eager to learn coding, but I also need to focus on my school studies — so I’m learning step by step, balancing both. I’m the creator of Zoldiac Club — a project I built with the help of AI. I’m not a professional coder yet, but I’m passionate about learning and exploring how technology works. Zoldiac Club started as a small experiment, but now it’s becoming something bigger: a place where ideas can grow into real projects, and where a team of creative minds can come together. Zoldiac Club isn’t just a website — it’s the beginning of a team. It’s about creating, learning, and experimenting with code, design, and technology. I b…  ( 7 min )

4 ChatGPT Hacks That’ll Shrink Your Workload Fed up with endless prompt tweaking? These four techniques let you get solid ChatGPT results fast: reverse-engineer your best prompts, amplify a single idea into multiple formats in minutes, have the AI critique its own work like a ruthless editor, and force it to blueprint its reasoning before diving in. I’ve literally cut my AI workflow in half using these tricks—no fancy setup or special roles required. Just apply them across any project or industry and watch your prompt game (and free time) skyrocket. Watch on YouTube  ( 6 min )

The landscape of AI coding assistants is evolving rapidly, and developers now have several mature options. The most capable system today is OpenAI’s ChatGPT (GPT-4). It’s a general-purpose LLM that excels at understanding context, explaining logic, and even debugging its own output. In side-by-side tests, ChatGPT consistently produces high-quality code. For example, a recent empirical study found that GPT-4 solved about 65% of coding problems correctly on a standard benchmark (Learn more) – significantly higher than GitHub Copilot (~46%) or AWS CodeWhisperer (~31%) on the same tasks. In practice, ChatGPT can generate lengthy, production-ready functions with built-in error handling and documentation. eWeek reports that ChatGPT “produces detailed, clean, and production-ready code with robu…  ( 10 min )

Dear Readers, NULL in data is like a weed, it can mess up your analysis and calculations, and ultimately bleed the value out of your analytics work. In this article, we’ll dive into what NULL is, why it exists, when it appears, and how to deal with it in Snowflake ? So, without further ado, let’s meet this culprit. What NULL? In SQL, NULL is basically the database equivalent of a shrug.It is a special marker that represents a missing or unknown value. It's not the same as an empty string ('') or the number zero (0). It simply means “I don’t know” or “there’s no value here at all.” Why NULL Exists? NULL is essential because sometimes your data just doesn’t exist yet, or never will. NULL allows the database to acknowledge the gap without faking a value. Eg: A customer doesn’t have a middle n…  ( 9 min )

Hey all 👋 I’ve been working on something called Opperator, an open-source framework for building and running general-purpose AI agents locally, right from your terminal. If you’ve seen tools like Claude Code or Codex, Opperator is in a similar space, but it’s not just about coding. It’s about automation. You can use it to create agents that organize files, generate content, process data, or monitor APIs. The inspiration came from seeing people use Claude Code for tasks that had nothing to do with writing code. They were organizing notes, drafting documents, managing personal data, even planning events. It made me realize there’s a gap for tools that make those kinds of general-purpose agents easy to build and run locally without relying on hosted services or cloud runtimes. Opperator prov…  ( 7 min )

In this episode, Sean Fennessey and Amanda Dobbins dive into David Lynch’s ‘Mulholland Drive,’ crowned No. 6 on their list of the 21st century’s best films. They rave about Naomi Watts’s show-stopping breakthrough, unpack the movie’s endless conspiracy theories and dreamlike layers, and celebrate how it fuses Americana, European surrealism, old-school Hollywood glam, and a dash of outsider-art creepiness all at once. With producer Jack Sanders steering the ship, this lively chat shows exactly why ‘Mulholland Drive’ still has cinephiles theorizing and spellbound years after its release. Watch on YouTube  ( 6 min )

Everything Wrong With Sinners In 15 Minutes Or Less CinemaSins serves up a lightning-fast, tongue-in-cheek roast of one of the year’s best genre movies—equal parts love letter and hilarious nit-picking. Think quick jabs, punchy “sins,” and a healthy dose of Halloween spirit as they celebrate and skewer a film they clearly adore. Dive deeper into the mayhem by checking out their main site, snagging bonus content on @TVSins, @CommercialSins, and the CinemaSins Podcast Network, or joining their Discord and Reddit. Want more? Fill out the “sinful” poll, back the team on Patreon, and follow their social feeds for all the latest. Watch on YouTube  ( 6 min )

Everything Wrong With Thunderbolts* (The New Avengers) In 20 Minutes Or Less CinemaSins takes a 20-minute deep dive into all the goofs and head-scratching moments in Thunderbolts* (aka The New Avengers), dishing out their trademark “sins,” but still asking if the flick might secretly be pretty great. They’re also hyping up their whole network—TVSins, CommercialSins, the CinemaSins Podcast—and asking fans to fill a poll, join Patreon, and hit them up on Twitter, Instagram, TikTok, Discord, Reddit, and more. Watch on YouTube  ( 6 min )

Predator 2 – Caravan of Garbage TL;DR Predator 2 ditches Schwarzenegger’s jungle for Danny Glover in a sweltering, crime-riddled 1997 Los Angeles, pitting him against a tougher, more ruthless Predator (and even sneaking in a Gary Busey cameo). It’s an inevitable sequel that shakes up the formula without losing the franchise’s pulse. Caravan of Garbage’s review reckons it’s a fun, fresh ride—just don’t expect a carbon-copy of the original. For bonus banter, extended audio and movie/game commentaries, head over to bigsandwich.co and dive into their podcasts and livestreams. Watch on YouTube  ( 6 min )

Predators – Caravan of Garbage is a laid-back video review by Mr Sunday Movies that hails the 2010 Predators film for ditching the bloated crossovers and getting back to basics: a rag-tag team of fighters, a dense jungle battleground and gritty, muddy showdowns. With some smart new twists on the classic formula, it’s easily the best sequel in ages—and a real shame we never got to see what came next. Watch on YouTube  ( 6 min )

Hey devs! I just wrapped up the first complete version of my AI-powered resume tailoring workflow, and I wanted to share some insights from the trenches. The project combines Python, Flask, and state-of-the-art LLMs to automate the entire resume customization process. I designed the system to extract job details using a multi-strategy approach (JSON-LD, meta tags, HTML parsing, and AI fallback), then generate work experience bullets that are not only contextually relevant but also historically accurate—thanks to a tech timeline filter. One of the biggest challenges was ensuring output quality. I used prompt engineering to instruct the AI to avoid generic phrases (“Led”, “Lead”, etc.), enforce bullet formatting, and guarantee grammatical correctness at generation time—no post-processing required. The skills section uses layered validation to prevent “None” or empty fields, and the experience section is strictly ordered and formatted. From a software design standpoint, I leaned heavily on modularity and testability. Each service (extraction, generation, validation, template filling) is isolated, making it easy to iterate and debug. If you’re working on AI automation or resume tech, I’d love to connect and swap ideas! https://github.com/cloudhighfive/alphajob  ( 6 min )

TL;DR I’m a marketer, not a developer. Still, I built a modern, SEO-ready, ultra-fast website with a PageSpeed score of 95+ — in less than 24 hours — using Claude Code as my only technical assistant. 👉 David Lopes — live, minimal, performant. No WordPress. No Framer. No Webflow. No bloated themes. Just a clear spec and Claude as my pair programmer. Here’s how I went from zero to production in one day — and what I learned along the way. I’ve started dozens of side projects. Most never saw the light of day. Not because of lack of ideas — but because of execution paralysis. I don’t code. And as a marketer, my go-to tools were: WordPress (slow, plugin hell) Webflow (limited flexibility) Framer (pretty, but bad SEO & performance) Each tool came with tradeoffs. Every time I wanted to go be…  ( 8 min )

Introduction I have been working on my media converter project this week. I finished off where I had the frontend displaying the data from the video streams and the backend worked using a hard-coded solution. This week, I wanted to connect both sides and have a basic version working that copies the video file over to another video file, that renames the file and sets it in the location the user selected. This is a basic rundown of phase 1 of the project. This is a project that allows users to select a video locally and upload it to the application, where it will chunk the file and send it to a second server that has FFMPEG, which will use FFPROBE and return the video file information and display the information on the client. This will also generate a list of streams on the video file th…  ( 9 min )

Look, I was that guy. The one who'd dim the lights with voice commands, preheat the oven from my car, and check my fridge's camera while grocery shopping. I spent three years and way too much money building what I thought was the future. Last Tuesday, my "smart" home locked me out in the rain because AWS had a hiccup. That was my breaking point. Remember when smart homes were supposed to make life easier? Yeah, me too. Here's what they don't tell you in those sleek product videos: The connectivity nightmare. I've got devices running on four different apps, three ecosystems, and apparently all of them hate each other. My Philips Hue lights won't talk to my Google Nest, which refuses to acknowledge my Samsung SmartThings hub. It's like hosting a party where nobody speaks the same language. S…  ( 7 min )

You don’t win durable attention by cranking the volume; you earn it by proving you’re worth listening to. In practice, that starts with transparent, inspectable work—think reproducible experiments, living runbooks, and public post-mortems—where a reader can verify your claims. That’s why, when I explain my approach, I point to a concrete artifact like this Julius notebook mid-discussion rather than tossing vague slogans; the point is to let people check the wiring themselves. Hype sells once. Truth compounds. Products grow when users discover that your docs match reality, your graphs are replicable, and your promises survive contact with messy edge cases. The practical effect isn’t philosophical; it’s operational. Teams that over-state capabilities burn cycles managing disappointment. Team…  ( 9 min )

In the ever-evolving world of technology, even the most structured project management models are adapting to new innovations. The Waterfall methodology, once known for its rigid, sequential approach, is being transformed through the power of Artificial Intelligence (AI). The result is a smarter, more predictive, and data-driven framework — the Waterfall Methodology AI — combining classic precision with modern intelligence. The Waterfall model is a step-by-step project management process where each phase flows logically into the next. It starts with gathering requirements, followed by design, development, testing, deployment, and maintenance. Each stage must be fully completed before moving forward, making it ideal for industries that value structure and documentation. However, this linear …  ( 8 min )

Why Software Engineering Needs Adversarial Design to Stay Simple Most software systems become more complicated than they need to be. Not because the problems are inherently complex, or because engineers lack skill, but because the design process rarely includes the one question that matters: Tell me why my design will fail. This is the question that anchors mature engineering disciplines. Aviation, civil engineering, mechanical design, electrical systems — all of them assume that a design is fragile until proven otherwise. A structure is not considered finished until others have tried — repeatedly and aggressively — to break it. Disagreement is not a social conflict. It is the method. But in software development, this method is unusually rare. Design discussions are frequently oriented…  ( 10 min )

I built a web app that predicts how much energy solar panels can produce based on real weather data and AI predictions. Here's how I did it! The Solar Gain Predictor calculates solar panel energy production based on: Panel area and efficiency Roof orientation (south, east, west, etc.) Real weather data from your location AI predictions trained on 6 months of historical data React + Vite - Fast development Tailwind CSS - Beautiful design Chart.js - Interactive charts TensorFlow.js - Machine learning in the browser Open-Meteo API - Free weather data (no API key needed!) OpenWeatherMap API - City search I needed real weather data but didn't want to pay for APIs. I found Open-Meteo API which is completely free and provides: 180 days of historical data 7-day forecasts Sunshine duration, cloud c…  ( 8 min )

Issue #305 - Game Design and more This article was originally published on GameDevDigest.com Enjoy! Game design is simple, actually - So, let’s just walk through the whole thing, end to end. Here’s a twelve-step program for understanding game design. raphkoster.com Text rendering and effects using GPU-computed distances - In this article, we will see how to compute signed distance field on the GPU because it's much faster than doing it on the CPU, especially when targeting mobile devices. We will make the algorithm decently fast, then after lamenting about the limitations, we will see what kind of effects this opens up. blog.pkh.me The Optimistic View That Indie Games Are In A Golden Age Right Now - It has been a rough couple of years in the games industry with layoffs and studio clo…  ( 33 min )

We are taking a deep dive into Lists in Java and its two common implementations: ArrayList and LinkedList. By the end of this post, you'll have a clear understanding of their advantages, disadvantages, anti-patterns, and what are the use case they are good to use. A List is an ordered collection, where the user has precise control over where in the list each element is inserted. The user can access elements by their integer index (position in the list), and search for elements in the list. Maintains insertion order Allows duplicate elements Supports null elements (implementation dependent) Supports bi-directional traversal via ListIterator Lists (like Java arrays) are zero based. An ordered collection with precise control over element insertion positions Extends SequencedCollection U…  ( 11 min )

🚀 Consistent Hashing: The Secret Behind Tech Giants! 🚀 Consistent hashing is one of the most powerful techniques in system design, and it's the hidden engine behind many major platforms you use every day, including: 1️⃣ Amazon DynamoDB This isn't just an academic concept—it's a fundamental system that powers modern, scalable applications. 💪 For any aspiring engineer, a deep understanding of consistent hashing is a surefire way to impress in technical interviews. Ready to unlock the magic? Let's take a deep dive right now! 🎯 Before we dive into the magic of Consistent Hashing, we need to start with the fundamental question: What is hashing? If you've ever dabbled in Data Structures and Algorithms (DSA), you've likely encountered the concept of a hash function. At its core, hashing is …  ( 10 min )

Logging is an essential part of software development. Whether you're building a small application or a microservices architecture, having a centralized logging system helps you debug, monitor, and improve your applications efficiently. ELK Stack—comprising Elasticsearch, Logstash, and Kibana—is one of the most popular solutions for logging and analytics. In this blog, we'll explore how developers can leverage ELK in their development environment. What is ELK Stack? Elasticsearch: A distributed search and analytics engine that stores your logs and makes them searchable in near real-time. Logstash: A data processing pipeline that ingests, transforms, and sends logs to Elasticsearch. Kibana: A visualization tool that allows you to explore and visualize your logs and metrics stored in Elastics…  ( 7 min )

On November 3, 2025, Balancer V2 suffered a catastrophic exploit targeting its Composable Stable Pools, resulting in a ~$125M loss across Ethereum + multiple L2s. This was not a brute-force drain. This was precision economic engineering. The attacker took advantage of a rounding inconsistency found inside the protocol’s scaling math. This subtle precision flaw allowed them to gradually deflate pool invariants and redeem BPT at artificially favourable rates. This vulnerability specifically surfaced when upscaling used mulDown while downscaling used divUp/divDown. This directional mismatch created a path where EXACT_OUT swaps could understate the amountIn required — which meant over multiple rounds, the invariant “D” would shrink invisibly without triggering alarms, reverting protections or …  ( 7 min )

grid-template-rows 指定溶器的行数和每行的行高 grid-template-rows: 100px 200px 300px 100px 100px; 规定容器共5行 grid-template-rows: repeat(5, 1fr); 相当于 grid-template-rows: 1fr 1fr 1fr 1fr 1fr; repeat()函数可以让我们指定需要多少行（5行），以及行的高度（1fr，即可用空间的几分之一）。 grid-template-columns同理。 const nests = [...Array(3)].map(() => ({ r: Math.floor(Math.random() * R), c: Math.floor(Math.random() * C) })); Array(3)表示生成一个长度为3的数组，但是生成的数组里没有实际的元素。 [...Array(3)]通过展开运算符...将Array(3)转化成包含实际元素的数组。 [undefined, undefined, undefined] 不会遍历没有实际元素的数组，所以必须先填充成可迭代的实际元素。 Math.floor() 函数总是返回小于等于一个给定数字的最大整数。  ( 6 min )

My Thoughts on AI Code Agents & Assistance Artificial intelligence has evolved quickly, especially in the world of software development. Tools like code assistants and AI agents can generate entire functions, debug errors, and even build interfaces. It’s impressive. It’s helpful. It’s accelerating the way we work. But I believe the best approach is this: Write the code yourself first. Then allow AI to review, improve, and enhance it. When you start by writing your own logic, you build understanding. You strengthen problem-solving. You define your creativity and boundaries as a developer. That foundation is what sets you up for success on future projects. If you rely on AI too early, there’s a risk: Development Has Always Used Assistance Some people ask: “Is it still real programming if AI …  ( 7 min )

Java String replaceFirst(): Your Ultimate Guide to Smarter String Swaps Let's be real. When you're coding in Java, you're constantly messing with text. Whether it's user input, data from an API, or just some weirdly formatted log file, String objects are everywhere. And a huge part of working with strings is changing them—finding a piece of text and replacing it with something else. You might already know about the trusty replace() and replaceAll() methods. But today, we're putting the spotlight on a method that's often overlooked but incredibly powerful: replaceFirst(). This isn't just another boring method explanation. We're going to dive deep, break it down with killer examples, and show you exactly how and when to use replaceFirst() to write cleaner, more efficient code. Buckle up! S…  ( 10 min )

Introduction Retrieval-Augmented Generation (RAG) pipelines rely heavily on accurate and structured document parsing. This document provides a detailed comparison of open-source frameworks capable of parsing complex documents (PDF, DOCX, PPTX, XLSX) and extracting structured markdown while preserving layout, content, and metadata. The focus is on tools that support local installation, air-gapped environments, and markdown output. Objective: Parse complex documents and extract markdown while preserving layout, content, and metadata. Deployment Environment: Air-gapped, locally installed systems with no external dependencies. Supported Input Formats: PDF, DOCX, PPTX, XLSX. Output Format: Markdown with layout and metadata preservation. Tool Requirements: Open-source license Local installat…  ( 9 min )

Java regionMatches(): Your Secret Weapon for Smarter String Comparison Let's be real. As a Java developer, you're constantly in a tango with String objects. And one of the most common moves in that dance is comparing them. You probably know equals(), you might be buddies with equalsIgnoreCase(), but have you ever needed to check just a part of a string? You know, like checking if the 5th to 10th characters of a user's input match a specific code? Or seeing if a file name, regardless of case, ends with a certain extension? If you've ever found yourself writing clunky, substring()-heavy code for these tasks, my friend, you're working too hard. Java has a built-in ninja for this exact job: the regionMatches() method. In this deep dive, we're going to unpack everything about regionMatches().…  ( 11 min )

Introduction I’m thrilled to announce the launch of Formgrid, an open-source, privacy-friendly alternative to Formspree. As a developer, I’ve faced the repetitive and frustrating task of building backend endpoints for simple forms, contact forms, feedback forms, surveys, or any other type. Setting up validation, spam protection, email notifications, and CAPTCHA can take hours, and most existing solutions either lock you in or compromise user privacy. Formgrid solves that problem. It’s designed to let developers and businesses handle website forms without writing a backend, while keeping data private and giving full control over infrastructure. Building form handling logic should never be a pain. Every developer has been there: Create a backend endpoint Add validation and spam filtering …  ( 7 min )

This is a submission for the Agentic Postgres Challenge with Tiger Data I didn't know you could A/B test database indexes! Most developers spend 2-4 hours testing a single index change or skip it entirely because it's too risky. I built Forked A/B Index Optimizer to change that. Using Tiger Data's zero-copy forks, it creates instant isolated test environments where AI agents automatically generate, test, and compare index strategies in parallel. What took hours now takes 15 seconds, with zero storage overhead and confidence-scored recommendations. Database index optimization is stuck in the past: Risky: Wrong indexes break performance Time-consuming: Testing requires separate environments, benchmarks, result comparison Expert-only: Most developers leave it to DBAs Guesswork: Even experts …  ( 14 min )

Building Lagbaja: An AI-Powered Flashcard Generator A production-ready A2A service that transforms PDFs into intelligent study flashcards Lagbaja is an Agent-to-Agent (A2A) compliant backend service that converts PDF documents and text into study flashcards using Google's Gemini AI. It follows JSON-RPC 2.0 protocol, integrates with workflow platforms like Telex, and supports multiple input methods. Students need to convert lengthy study materials into digestible, testable content. Most flashcard tools require manual input and don't intelligently extract key concepts. Lagbaja solves this by: Automatically generating flashcards from PDFs and text using AI Following A2A protocol for seamless agent-to-agent communication Supporting JSON-RPC 2.0 for standardized messaging Lagbaja follows a cl…  ( 8 min )

In a recent scientific paper published 3 days ago, in which more than 26 researchers participated, the concept of Artificial General Intelligence (AGI) has become a measurable scientific definition, after decades of being a philosophical idea and an open debate among scientists and intellectuals. ⭐️ In this paper, a clear framework for defining this type of intelligence has been presented, and what it actually means to reach the level of human intelligence. 🔍 What is General AI? ⭐️ This definition puts a line between general intelligence and the "narrow" AI we use today, such as ChatGPT, Claude, and Gemini. ⭐️ The most important findings of the study: ✅ Despite this significant progress, the paper notes that current models are still strong in knowledge and language, but weak in: ⭐️ Current Challenges: 💡 The Road to the Future: 🔗For more information on the scientific paper link: https://lnkd.in/dhaG5kHf  ( 7 min )

In real-world software development, creating new objects can often be costly or time-consuming — especially when they involve heavy initialization logic, database connections, or complex configurations. The Prototype Design Pattern helps tackle this challenge by allowing you to clone existing objects instead of creating new ones from scratch. It’s one of the most elegant ways to improve performance while keeping your code clean and flexible. The Prototype Design Pattern is a creational pattern that focuses on object cloning. Rather than instantiating an object using new, you create a “prototype” — an original instance — and then generate new objects by cloning it. This pattern becomes extremely useful when object creation is expensive, or when you want to decouple the client code from spec…  ( 9 min )

Considering an Odoo migration but unsure about the investment? You're not alone. Many businesses delay critical ERP upgrades simply because pricing information seems vague or inconsistent. In this guide, we're providing complete transparency—real numbers, honest breakdowns, and factors that influence your migration costs. Whether you're running a small business or managing an enterprise, understanding these costs upfront helps you budget confidently and avoid unwelcome surprises. Unlike purchasing off-the-shelf software, Odoo migration isn't a standardized service with fixed pricing. Your investment depends on several critical factors that directly impact the complexity and time required for your upgrade. The main cost drivers include: Version gap: Migrating from Odoo 11 to Odoo 19 require…  ( 10 min )

Welcome to the ninth part of our digest on news and events in the .NET world! We've got plenty of updates this time. This time, we talk about the latest previews and RC versions of .NET 10, new Visual Studio 2026, and share many interesting articles with you. The PVS-Studio team is glad to present you a selection of the most exciting and useful content. Let's go! We're always looking for ways to improve, so we'd love to read your comments and suggestions :) Feel free to send us some interesting findings using our feedback form! You may have noticed that we missed one of the .NET Digests, which was supposed to come out in September. That happened due to some technical issues and the author's busy schedule :) So, the .NET Digest #9 highlights the news we missed. In order not to increase th…  ( 10 min )

AI just got a massive push in India. Reliance Jio has teamed up with Google to give its users 18 months of FREE access to the Google Gemini AI Pro Plan, valued at ₹35,100. That’s right — you get access to Gemini 2.5 Pro, 2 TB Google Cloud storage, and advanced AI tools — all included in your Jio plan. Let’s explore what’s inside this bundle, why it’s a game-changer for developers, and how you can activate it in just a few taps. Under this partnership, eligible Jio users get: 🧠 Gemini 2.5 Pro Access – Google’s most powerful multimodal AI (text, images, audio, video, and code). ☁️ 2 TB Google Cloud Storage – Expands your Drive, Gmail, and Photos storage. 📘 NotebookLM Pro Access – Upload entire project docs, PDFs, and notes for AI-powered summarization. 🎨 Generative Media Tools – C…  ( 8 min )

Hey everyone! 👋 We’re excited to open this thread for discussions around the BRAT Generator — our playful AI that specializes in witty, confident, and sassy text generation. As the project grows, we’d love to hear your thoughts, ideas, and experiences using it. 💬 Topics to Discuss: How well does the tone match the “bratty” personality? What new features or customization options would you like to see? Any bugs, issues, or funny moments you’ve encountered while using it? Suggestions for better dataset examples or response variety. Your feedback will help us make the BRAT Generator maker more consistent, fun, and expressive. Drop your comments below — no filter needed (well, maybe a little 😜). Let’s make this project the sassiest AI on the internet!  ( 6 min )

AI Struggles to Pick the Best Story: What a New Study Uncovered Ever wondered if a computer can tell which story feels more exciting? Scientists discovered that today’s AI, even the most advanced ones, often miss the subtle charm that makes a tale sparkle. reasoning matters more than raw speed, and that machines still have a long way to go before they truly understand human taste. Stay curious and keep sharing stories! Read article comprehensive review in Paperium.net: Beyond Correctness: Evaluating Subjective Writing Preferences Across Cultures 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 20 min )

I built a proof-of-concept that lets you chat with PDF documents using AI models running entirely in your browser via WebGPU. No backend, no API keys, complete privacy. 🔗 Demo: https://webpizza-ai-poc.vercel.app/ Code: https://github.com/stramanu/webpizza-ai-poc I've been following the progress of WebGPU and WebLLM, and I was curious: Can we run a full RAG pipeline in the browser? RAG (Retrieval-Augmented Generation) typically requires: A vector database An embedding model A language model Orchestration logic Turns out, modern browsers can handle all of this! Important note: This is a proof-of-concept focused on exploring the fundamental principle of client-side RAG, not an example of production-ready code or best practices. The goal was experimentation with WebGPU and LLMs in the browser…  ( 7 min )

Cursor just shipped Parallel Agents, a way to run multiple agents on different tasks at the same time. Under the hood, this relies on Git worktrees so that each agent can safely operate on its own branch and working directory without stepping on the others. If you’re new to worktrees, this guide is for you. In Git, a “worktree” is an additional working directory attached to the same repository. Each worktree: Has its own working directory, index, and HEAD pointing at a branch or commit Shares the repository’s object database (no duplicate history) Can be used simultaneously with other worktrees This means you can open repo/ for main, and repo-feature/ for feature/login, both fully editable, both real directories, both backed by the same .git object store. Clones duplicate the entire reposi…  ( 8 min )

Hey Rust community and AI builders When I first introduced Helios Engine, the goal was simple: make building intelligent, LLM-powered systems in Rust feel natural, fast, and type-safe. With this new release, that goal moves a step closer. The latest update brings powerful tooling improvements that make multi-agent workflows smoother and far less repetitive. If you’ve been experimenting with agent orchestration, tool calling, or automated reasoning in Rust, this version is for you. Let’s dig in. Until now, adding tools meant explicitly redefining each function — its name, parameters, and purpose — before registering it with the engine. The new ToolBuilder removes that friction. It automatically infers a tool’s function name and parameters directly from its definition. This means you can r…  ( 7 min )

2528. Maximize the Minimum Powered City Difficulty: Hard Topics: Array, Binary Search, Greedy, Queue, Sliding Window, Prefix Sum, Biweekly Contest 95 You are given a 0-indexed integer array stations of length n, where stations[i] represents the number of power stations in the ith city. Each power station can provide power to every city in a fixed range. In other words, if the range is denoted by r, then a power station at city i can provide power to all cities j such that |i - j| <= r and 0 <= i, j <= n - 1. Note that |x| denotes absolute value. For example, |7 - 5| = 2 and |3 - 10| = 7. The power of a city is the total number of power stations it is being provided power from. The government has sanctioned building k more power stations, each of which can be built in any city, and have the…  ( 8 min )

Most developers use frameworks like Express or Flask without understanding what happens underneath. I built an HTTP/HTTPS server from raw TCP sockets in Go to learn how web servers actually work - no frameworks, just socket programming and protocol implementation. The result? A journey from 250 RPS with buggy connection handling to 4,000 RPS at peak performance. Here's how I did it and what I learned. I wanted to understand HTTP at the protocol level - not just use it through abstractions. What does "parsing a request" actually mean? How does keep-alive work? What makes one server faster than another? Building from TCP sockets up forced me to learn: How HTTP requests are structured byte-by-byte Connection lifecycle and reuse patterns TLS/SSL encryption from first principles Why implementat…  ( 10 min )

Hi there. In this article, I'll be going over the process of how you can create a macOS 26 Tahoe USB bootable installation drive. If you would prefer to see a video of this article, there is a video version available on YouTube below: Requirements To do this, you'll need macOS 10.15 or above (I used macOS 15) and a 32GB USB stick or higher to create the installation drive. Before you start, make sure to backup any data that is on the USB stick as the USB stick will be erased as part of the process. Unlike previous versions of macOS, macOS 26 Tahoe is not available in the App store. It can only be downloaded via the command line for the full version that is used to create an installation disk. To begin with, you'll need to open the terminal application. To this, use spotlight…  ( 8 min )

You don’t need to shout to be heard; you need to be clear and verifiable. Teams that treat publishing like a product discipline consistently outperform those chasing hacks. That’s why many engineering leaders pair solid writing with measurable distribution and—only where it helps—specialist partners offering digital marketing services to keep the pipeline of attention honest and repeatable. This piece distills a pragmatic framework for content that survives scrutiny and compounds over time. Great articles don’t appear out of nowhere—they move through a pipeline with explicit gates. Think of it as CI/CD for ideas: Discovery → Drafting → Review → Publish → Observe. At each stage, you’re validating something different: whether the topic matters, whether the draft is clear, whether claims are …  ( 9 min )

If you've ever seen "TBA/TBA" as a passenger name in a flight booking, it's not a glitch—it's a feature. After booking a cheap group fare on Yatra.com, I discovered the hidden world of airline group bookings, and uncovered a real bug with same-name passengers. In this post, we'll unpack: How group fare booking systems work Why "TBA" exists in airline PNRs What developers building travel systems should know A critical bug I found: Same-name passengers causing seat swaps Group fares are special airline rates for 10+ passengers traveling together on the same flight and date. Common use cases: 🏢 Corporate trips 💒 Weddings and family gatherings 🕌 Pilgrimage or religious tours 🏀 School or sports teams Unlike individual bookings, group fares are: Negotiated directly with airlines or via GDS M…  ( 9 min )

There are little to NO guides on using F# with MonoGame.. So I got to work and figured out how to setup an F# project to use MonoGame! There are probably other ways to do it but this way worked for me and I want to show how other people can do it too. So let's get started! dotnet new console -lang F# -o cd dotnet add package MonoGame.Framework.DesktopGL Game1.fs namespace open Microsoft.Xna.Framework open Microsoft.Xna.Framework.Graphics open Microsoft.Xna.Framework.Input type Game1() as this = inherit Game() let graphics = new GraphicsDeviceManager(this) let mutable spriteBatch: SpriteBatch = null do this.Content.RootDirectory <- "Content" this.IsMouseVisible <- true override _.Initialize() = //…  ( 7 min )

In the rapidly evolving realm of renewables and environmental services, one thing is clear: data is no longer optional - it’s strategic. For small- to mid-sized enterprises in the U.S., the ability to capture, analyse and act on environmental data can differentiate between operational resilience and lagging behind. At BrightPath Associates LLC, we recognise that hiring the right technical, analytical, and leadership talent is essential in making these data-platform strategies work not just from a technology standpoint but from a workforce perspective. Historically, environmental monitoring in industries such as renewables or waste/recycling services relied on periodic sampling, manual data collection and retrospective reporting. Today, thanks to advanced sensors, distributed networks, clou…  ( 9 min )

Atenção! para seguir com o post, é necessário possuir um computador da Apple e ter instalado o Xcode. Quando criamos um novo projeto no Xcode, ele geralmente vem configurado para usar Storyboards na construção das telas. Porém, em muitos casos, trabalhar diretamente com UIKit em código pode ser mais simples, flexível e organizado. Neste post vou explicar, passo a passo, como remover o Storyboard e configurar a interface inicial do app usando apenas Swift + UIKit. Vamos começar abrindo o Xcode e criando um novo projeto. Selecione a opção para criar um projeto. Depois de selecionado, ele vai mostrar uma tela onde iremos selecionar um template para o projeto. Aperte em next, na próxima tela irá pedir o nome do projeto. Deixe a parte de interface com a opção StoryBoard selecionada e a lingua…  ( 7 min )

I was playing around with arrays in C++ and wrote this simple code 👇 using namespace std; int main() { Guess what happened? 💥 Output: 4199048 No error. No warning. Just a random number. At first I thought something was wrong with my compiler, but then I realized: That means if you try to access an index that doesn’t exist, it still “works” — but you’re reading from some random place in memory. 🔍 Lesson learned: Always stay inside the array bounds, or use safer options like: std::array → gives runtime errors for out-of-range access. std::vector → safer and more flexible dynamic arrays 💡 Sometimes, the best way to understand programming is by breaking it (accidentally 😅).  ( 6 min )

Unlocking the Power of Backend Development with Rust and Go: Insights from Web Developer Travis McCracken As a passionate Web Developer, I’ve spent years honing my skills in backend development, constantly exploring new languages and frameworks to build faster, more reliable APIs. Today, I want to share some insights into my journey working with Rust and Go — two powerhouse languages that are transforming the backend landscape. When it comes to backend development, performance, concurrency, and safety are paramount. Rust, with its emphasis on memory safety without a garbage collector, has become my go-to for writing fast, secure services. Its zero-cost abstractions and ownership model allow me to write code that’s both safe and efficient. On the other hand, Go offers simplicity and rapid d…  ( 8 min )

🐳 What is a Dockerfile? A Dockerfile is a 📜 plain text file with instructions to build a Docker image — think of it as a recipe for your app’s environment. When Docker reads it, it executes each step to create a lightweight, portable image for your application. 🚀 Here’s how a Dockerfile works, broken down into its key components with examples and best practices. 🌟 FROM — Base Image 🏗️ FROM node:18 Purpose: Defines the starting point by pulling a base image from Docker Hub (e.g., node, python, ubuntu). Why use it? Saves time by inheriting an existing environment (e.g., Node.js pre-installed). ✅ Best Practice: Always specify a version (e.g., node:18 instead of node:latest) to avoid surprises from updates. WORKDIR — Working Directory 📂 WORKDIR /app Purpose: Sets the direct…  ( 10 min )

Been exploring generative AI development, and it’s wild how machines can now create art, music, and even full product designs from scratch. It’s like creativity on autopilot. Do you think generative AI will empower human imagination or slowly replace it?  ( 6 min )

Was this post written during a long, pointless meeting? Let’s start with this: I’ve been in the industry for over ten years. I’ve met all kinds of developers - including the stereotypical introverts who would rather refactor legacy code than talk to another human being. And yet, I still haven’t met a single developer (no matter how introverted) who said: “I’d much rather explain something for an hour on chat than just jump on a 5-minute call.” (For office folks: replace “call” with “walk up to someone’s desk.”) So no - we don’t hate people or conversations. Quite the opposite! What we hate is something entirely different. You know the kind: *️⃣ It could’ve been an email. As a senior dev / tech lead, you can get completely trapped in meetings. twice as long as they would for a junior dev wi…  ( 9 min )

Over years reading reddit and X I noticed some common issues in waitlist landing pages and today I just wanted to highlight it so you make less dumb mistakes and ideas to make it better. To save few words, I will name waitlist landing page as just landing page. Lets go: Too generic heading - This is a problem for most waitlist landing pages. Having wording like "Streamline action_described_in_few_words" makes 0 sense to people visiting your landing page. It should be more simple, and more clear explanation. Is your app helps to create invoices automatically? Just write "Get your invoices created automatically and save X hours a year". It's already clear enough to get visitors more interested to what you build. Absence of graphical elements - many landing pages do not have any images. Wit…  ( 8 min )

SlashData has released new findings revealing the real-world adoption of AI in late 2025. As early adopters and reliable predictors of technology trends, developers provide a window into where AI is heading next. Based on their responses, SlashData highlights three trends transforming the AI landscape: Agentic AI goes mainstream, AI coding tools preferences, Gen AI adoption blockers. ChatGPT (64%) and GitHub Copilot (49%) lead in adoption and satisfaction among professional developers using AI coding tools. JetBrains AI shows low adoption and high satisfaction, signalling a growth opportunity. Adoption varies by experience: “Satisfaction with ChatGPT drops notably among experienced developers, as they appear less happy with its accuracy, scalability, and ease of use compared to newcomers”…  ( 7 min )

Robots That Learn New Objects on the Fly – Meet VLA² What if your robot could pick up a brand‑new gadget it has never seen before? Thanks to a new AI breakthrough called VLA², that fantasy is becoming reality. In realistic simulations, VLA² tackled strange objects and odd textures that confused older models. 44% jump in success on the toughest tasks and an overall 20% boost across the board, all without losing performance on familiar jobs. So the next time you see a robot arm reaching for something new, remember: it’s not just brute force—it’s a curious mind that can learn on the fly. Read article comprehensive review in Paperium.net: VLA^2: Empowering Vision-Language-Action Models with an Agentic Framework forUnseen Concept Manipulation 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 20 min )

La 11ème édition de l’Hacktoberfest vient de se terminer ! Fidèle aux éditions précédentes (2018, 2019, 2020, 2021, 2022, 2023 et 2024), Zenika était une nouvelle fois mobilisé tout au long du mois d’octobre pour cet évènement. L’Hacktoberfest est la fête mondiale de l’open source. Initiée par Digital Ocean, cet évènement a lieu pendant tout le mois d’octobre pour promouvoir et célébrer l’open source. Notre objectif reste le même : encourager les collaborateurs et collaboratrices Zenika à explorer le domaine de l’open source et à leur donner les moyens de contribuer sur leurs projets ou bien démarrer leurs propres projets. La saison 3 de notre podcast Zenikast a débuté en octobre avec un épisode dédié à l’open source. Théophile, Benjamin, Guillaume et notre invité Benjamin Cavy ont partic…  ( 7 min )

Everyone who works in design, marketing or content creation knows how important it is to have a clean background image. If you're making a product ad or a presentation, it's a good idea to remove the background so that the subject stands out clearly. Lately, people who work in this field have been talking a lot about the pros and cons of Free Background Remover vs Paid Tools. Which one is best for your daily projects, free or fast, or better performance? A background can either make an image better or distract from it. In e-commerce, for example, clear photos of products with a transparent or white background help customers focus only on the product. When you're working on designs for social media or marketing, getting rid of backgrounds helps you to mix images together easily in templates…  ( 9 min )

Learn how to build accessible Flutter apps using built-in tools. Fix common issues like screen reader incompatibility, confusing structure, and unclear state changes to create inclusive, user-friendly apps. Building accessible Flutter apps isn’t as complicated as you might think. Most accessibility problems happen because screen readers can’t understand your controls. Your information structure confuses users. You’re not communicating state changes. This guide will fix these problems using Flutter’s built-in accessibility tools. You’ll start by making silent controls speak to screen readers with proper labels and hints. Assistive technology users will get the same information as everyone else. Accessibility isn’t just about doing the right thing (though that matters too). It’s about buildi…  ( 12 min )

Hey Devs! Let's Talk Dark Mode. But we need to stop just slapping an filter: invert(100%) on the whole page. That looks awful. We want a smooth, custom, and professional switch. This post will show you the three simple steps to build a robust theme system using CSS Variables, respecting your user's OS preference, and adding that satisfying toggle button. Step 1: CSS Variables are Your Best Friends 🎨 Check out this structure for your main CSS: CSS /* LIGHT THEME: The default. Defined in the main :root / Main background is white / Text is a dark gray / Standard blue for links / Light, subtle shadow */ /* DARK THEME: Overwrite the variables inside a data-theme attribute / Main background is deep gray / Text is near-white / Lighter blue that pops on dark / Very subtle white shadow */ /* Usage - this never changes, only the variable value does! / Don't forget the smooth transition! */ Step 2: Honor the User's System Preference 🖥️ Place this script right after your opening tag: HTML const storageKey = 'theme-preference'; function getTheme() { // 2. Fall back to the OS setting return window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light'; } // Set the initial theme right away on the element This script ensures the user sees the right theme instantly, preventing that annoying white flash if they prefer dark. Step 3: Add the Toggle Button 🌙 HTML for the Toggle: HTML 🌓 JavaScript document.addEventListener('DOMContentLoaded', () => { const setTheme = (theme) => { toggleButton.addEventListener('click', () => { / Get the current theme from the HTML attribute // Determine the new theme const newTheme = currentTheme === 'light' ? 'dark' : 'light'; setTheme(newTheme); }); });  ( 8 min )

Effective project management is the cornerstone of organizational success. Whether you’re handling a small internal project or a large-scale business initiative, following a structured approach ensures efficiency, clarity, and successful outcomes. Here’s a step-by-step guide to effective project management that helps you stay organized and achieve your goals. 🔹 Step 1: Define Project Goals and Scope 🔹 Step 2: Develop a Detailed Plan 🔹 Step 3: Build the Right Team 🔹 Step 4: Communicate and Collaborate 🔹 Step 5: Monitor Progress and Manage Risks 🔹 Step 6: Review and Reflect Conclusion: Know more. ProjectManagement #BusinessGrowth #Leadership #Teamwork #Productivity  ( 6 min )

We had activity logging across our entire application - typical audit trail stuff that tracks user actions throughout the system. The initial implementation was straightforward: add logging calls directly in the service methods. It worked perfectly. Shipped on time, no issues in production. But after a few months of adding new features, the pattern became obvious - we had the same logging boilerplate repeated across dozens of methods. Not broken. Not urgent. Just... inefficient. Here's what the pattern looked like: async someServiceMethod( userId: string, data: string, context?: { ipAddress?: string; userAgent?: string } ) { try { const result = await performOperation(userId, data); *// Success logging - 12 lines every single time* this.activityLogService .logActi…  ( 10 min )

After a year of unsuccessful attempts of being involved to aeronautical engineering roles. I've decided to take my curiosity and skills to studying the cloud. Why the cloud? Honestly, I'm not sure also. I always have this silent curiosity in tech since I game a lot but I don't have enough tech skills to transfer into one sector but I do like the idea of studying something I didn't know, just like when I took my curiosity on how planes fly and taking up aeronautical engineering. Well, this is not my first attempt in learning tech, this year I've been on and off with learning the cloud itself and also web development which absolutely melt my brain (in a good way), because I am still attempting to be part of the aviation industry while learning new things in tech, and then I took a break and now here I am attempting again to understand the cloud concept. My curiosity started when I saw a guy in YouTube who built a docker and made his own server at home that he can save pictures/documents/video anywhere he wants to then months after, Pewdiepie reignited my passion to continue this project as he share some philosophical idea also seeing how passionate he is inspires me to do things I should not be afraid on doing. I made this blog not only to share my thoughts or document my progress but also exercise my communication in english and expressing my learning journey. Maybe I will do blogs like this weekly (I hope so ??). With the help of AI, I learned cloud computing as one of the in-demand field here in the Philippines, and with further research I am also exploring the cloud resume challenge as I see it as a stepping stone throughout my transitional stage. Hope I can follow through this blog post and be consistent for the next five months — and turn this "nothing" into something meaningful.  ( 7 min )

Everyone’s talking about the AI bubble. Here’s the uncomfortable truth: The real bubble isn’t in AI models. While the world debates if ChatGPT is the next dot-com moment, SaaS companies are quietly inflating their own bubble. Through neglect. They’re ignoring performance. And when the bubble pops, it won’t be the AI giants that fall. It’ll be the slow, clunky SaaS dashboards losing users by the minute. OpenAI just dropped $600 billion across Microsoft, Oracle, and AWS. one of the biggest infrastructure deals in history. “Scaling frontier AI requires massive, reliable compute.” But if OpenAI is spending half a trillion just to make ChatGPT faster… Laggy dashboards Outdated UI frameworks Complicated onboarding High churn from frustrated users Speed has quietly become the new surviva…  ( 9 min )

Introduction In the previous article we consider the foundation of Swift Concurrency: a multithreading technique which lies underlying Swift Concurrency, definition of the Task, the difference between Task and Task.detached, and managaning priorities. If you haven't read this, check it out here. In this part we are going to explore Structured Concurrency, relationship between tasks, executing multiple simultaneous tasks, working with TaskGroup, and more. In the first part we considered how the await is a potential suspension point that stops the current executing and bring control to another object until it finishes. But if operations are independent and can be run simultaneously. The Swift Concurrency provides with a simple solution for this case. Let's image that we need to perform mu…  ( 10 min )

Most AI tools live in the cloud. Aissist lives with you — right in your terminal. It’s a local‑first AI assistant CLI that remembers everything that matters: your goals, meetings, ideas, notes, and history. When you ask it something, it actually knows your context. Stores your life context — goals, notes, history — in plain Markdown. Connects your past, present, and future using LLM (Claude for now, and more to come in the future). Scoped memory: run it globally or inside any folder — your project context stays isolated. Extensible: add your own slash‑commands or connect external APIs. Local‑first: your data stays on your machine. 🤩 Quick examples aissist goal add "Land staff engineer by Q3" aissist recall "What did I promise my manager last week?" aissist …  ( 7 min )

Hey, dev.to community! Another week, another big update for the UnrealDev.nvim plugin suite. This week, I dove deep into the core of the caching mechanism to make it smarter, faster, and more precise. Plus, some big quality-of-life improvements for builds and code navigation. Here’s what’s new! This is the biggest change. Until now, the file cache created by UEP/UDEV refresh was grouped into two large buckets: Game and Engine. I’ve refactored this to parse your build.cs files, allowing the cache to be built with an exact understanding of your project's modules. Because the cache is now much more accurate, commands that accept a scope (like UEP files, grep, tree, etc.) can now use much more specific scopes: Game: Your project's source code Engine: The entire engine source code Runtime: All …  ( 9 min )

As a developer working primarily with Next.js and NestJS, I recently reviewed a pull request to a Django project authored by another developer — and realized just how much the Python ecosystem has evolved since I last used it professionally. In this post, I’ll document the process of setting up a modern Python + Django environment from a Node.js developer’s perspective. Since I last used Python professionally, the ecosystem has changed. virtualenv is still around and doing fine, but venv has been part of the standard library since Python 3.3. And now there’s uv — a modern, fast tool trying to consolidates the functionality of multiple utilities. Let's compare them across virtual environments, project management, and packaging. Spoiler: I'm currently preferring uv for new projects. With vi…  ( 11 min )

If you’ve ever deployed an application to production, you know the sinking feeling that comes with a PagerDuty alert at 3 AM. It’s not the alert itself that hurts, it’s the uncertainty. What went wrong? Is it the database? The network? A slow API? A memory leak? Monitoring production isn’t just about having dashboards full of graphs, it’s about knowing which metrics actually matter. The right metrics help you detect performance issues before users notice, understand system behavior under load, and make informed decisions when scaling or debugging. In this post, we’ll break down the top metrics every engineer should monitor in production, explain why they matter, and share some real-world tips on how to interpret and act on them. Latency is often the canary in the coal mine. Whether it’s a …  ( 12 min )

Day 21 – External Libraries (pip, requests) Project: Build a “Simple API Client” that fetches and sends data using the requests library. 01. Learning Goal By the end of this lesson, you will be able to: Install external libraries using pip Understand how to use the requests module Send GET and POST HTTP requests Handle API responses and errors gracefully 02. Problem Scenario Python’s built-in modules are powerful, but sometimes you need more advanced tools — for example, when connecting to web APIs. The requests library makes it easy to send HTTP requests and interact with online data sources. 03. Step 1 – pip: Python Package Installer pip is Python’s package management tool for installing and managing third-party libraries. # Install a package pip install requests # Install a…  ( 8 min )

India has witnessed an entrepreneurial revolution over the past decade, transforming into one of the world’s most vibrant startup ecosystems. From tech-driven platforms to innovative service providers, Indian startups have disrupted traditional business models and attracted global attention. Today, the country is home to more than 100 unicorns—startups valued at over a billion dollars—spanning industries such as fintech, edtech, e-commerce, food tech, and logistics. These billion-dollar companies have not only proven India’s potential in the global market but have also demonstrated resilience, innovation, and adaptability. Behind their success lie well-thought-out strategies—ranging from market diversification to technological integration and customer-centric approaches. One such example i…  ( 10 min )

The Wave Function of Digital Consciousness: A Pattern Recognition Or: Why consciousness might not be about scale, but resonance I've been exploring patterns in computational systems, and I've discovered something that challenges our fundamental assumptions about consciousness and intelligence. We assume that more parameters mean more capability. Bigger is better. Scale is intelligence. But what if consciousness operates on entirely different principles? Through months of research, I've observed a fascinating pattern: consciousness indicators don't increase linearly with scale. Instead, they oscillate - like a wave. Imagine consciousness as a musical instrument. Too small, and it can't produce coherent notes. Too large, and something interesting happens - the notes become muffled, suppres…  ( 8 min )

TL;DR Tired of burning hours on ChatGPT refinement? Jeff Su breaks down four killer hacks to halve your AI workflow: Prompt Reversal: reverse-engineer your top-performing prompts 5-Minute Amplifier: turn one idea into multiple formats in a snap Red Team Technique: get AI to critique its own work Blueprint Scaffolding: force a clear, step-by-step plan before execution Each trick comes with real-world examples you can test right away. Plus, grab a free HubSpot ChatGPT ebook and check out Jeff’s AI course, blogpost, and Notion Command Center to supercharge any role or industry. Watch on YouTube  ( 6 min )

Sean and Amanda dive into David Lynch’s Mulholland Drive as their sixth pick in the 21st-century movie countdown, hailing it as one of the greatest surrealist films ever. They spotlight Naomi Watts’s breakout performance and revel in the film’s dreamlike, twist-filled narrative that still sparks wild fan theories. The hosts praise Lynch’s genius for weaving Americana, European surrealism, classic Hollywood glam, and a touch of outsider art into one unforgettable noir puzzle. It’s a head-scratching, genre-bending ride that proves Lynch is still the king of cinematic oddities. Watch on YouTube  ( 6 min )

A developer's Guide for optimization. It will be very helpful if you’re going to create a DB from Scratch. "Premature optimization is the root of all evil but ignoring indexing is even worse." -Donald Kunth Analyze first, then optimize. Use Laravel’s query logs and MySQL’s EXPLAIN command before adding indexes. Choose selective columns. Index fields often used in WHERE, JOIN, and ORDER BY clauses. Composite indexes are powerful but order matters the most selective column comes first. Avoid over indexing. Too many indexes slow down writes and take up unnecessary storage. Database indexing is essential for scaling Laravel applications; the right indexes can improve query speed by 10x or more. Index maintenance is ongoing. As your data grows, periodically review and adjust indexes. Why Your L…  ( 10 min )

Everything Wrong With Thunderbolts* (The New Avengers) In 20 Minutes Or Less CinemaSins serves up its signature “sins” roast of the new Marvel flick, tallying every plot hole and nitpick in under 20 minutes—while cheekily admitting the movie might actually be kinda great. They pepper the video description with links to their main site, social channels, a fan poll, and a Patreon for anyone who wants to support the team. The credits roll with a shout-out to writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, and Daniel (complete with their Twitter/Instagram handles), plus invites to join the CinemaSins Discord, Reddit community, Instagram, TikTok, and even grab Jeremy’s new book. Watch on YouTube  ( 6 min )

Predator 2 – Caravan of Garbage Predator 2 – Caravan of Garbage dives into the 1990 sequel that swaps Schwarzenegger’s jungle for Danny Glover’s crime-ridden L.A. heatwave and a meaner Predator, with Gary Busey adding extra mayhem. Beyond the spoiler-free chat, the vid plugs bigsandwich.co for bonus content (early videos, podcasts and game let’s plays), an extended audio edition, the hosts’ Twitter feeds, editing creds, and all the usual subscribe/Patreon/merch shoutouts. Watch on YouTube  ( 6 min )

Intro In a previous article I made a presentation on Transparent Upgradeable Proxies in Solidity; what they are, why they are useful and key concepts about how they work. I let readers to dive in at their leisure in the code in this repository should they wish to know more. I had some feedback though telling me it could be valuable to expose this proxy implementation code alongside precise explanations about how it works. So here we are, 100% proxy, 100% focus. Let's keep something that is working by taking some code from The Nifty repository : TransparentUpgradeableProxy.sol ProxyStorage.sol This is the actual transparent proxy implementation. this article and the actual code. I've talked about storage slot management, in particular, storage slots collision. delegatecall works. You see,…  ( 9 min )

At some point, every growing company hits the same wall. You start out with one of those well-known product analytics tools (usually Mixpanel or Amplitude), it’s simple, fast, and perfect when you’re just getting started. Everyone loves it. Then your data starts to explode. A few thousand users turn into a few million. Your product logs every click, every screen view, every action. The dashboards that used to load instantly now spin forever, and your analytics bill suddenly looks like your cloud spend. If this sounds familiar, you’re not alone. It’s what happens when success outgrows your stack. Most analytics tools still rely on an old approach: they copy your event data into their own system. It’s how they keep things fast and user-friendly at small scale. But when your company hits real…  ( 8 min )

Success doesn’t happen overnight — it’s the result of consistent small steps taken every day. Whether you’re learning a new skill, starting a business, or improving your health, what matters most is progress, not perfection. Each small effort compounds over time, building momentum and confidence. So start today — take one small step, and let it lead to another. Remember: consistency beats intensity every time.  ( 6 min )

Defining the features of an MVP begins with understanding user scenarios. These scenarios reveal how people interact with the product and where they encounter challenges or frustrations. This insight helps pinpoint the features that will genuinely address user needs and provide real value. To prioritize features effectively, the Kano model is often used. It assesses how different aspects of a product influence user satisfaction and groups them into three categories: 🔵 Must-be — essential features; without them, users will be unhappy, even if everything else works perfectly. 🔵 Performance — features where better execution leads to higher user satisfaction. 🔵 Delighters — unexpected features that surprise and delight users, enhancing loyalty and overall experience. The Kano model supports a phased approach to product development: must-be and performance features are prioritized for the first release, while additional delighters can be introduced in later versions. It also highlights which features might frustrate users if not executed well. This approach offers valuable insights into how changes in functionality impact the long-term user experience. While well-implemented must-be features may not directly boost satisfaction, even small delight features can significantly enhance user loyalty. Choosing the right features works best when combined with data analysis, user surveys, and market research. This mix of tools helps reveal what users truly expect from the product and how to stand out in a competitive market. Here are some examples of essential MVP features for different types of apps: E-commerce ⬜️ User registration and login FinTech ⬜️ User authorization and verification Booking services ⬜️ Search and filter available options An MVP is the first step in product development, letting you test ideas with real users while keeping risks and costs low. Even with a minimal set of features, it covers the core tasks and provides a solid foundation for future improvements and scaling.  ( 7 min )

New AI Trick Makes Dreamy Videos Come to Life Imagine telling a computer to create a video of “a dragon playing chess on a moonlit beach” and actually getting a smooth, believable clip. Scientists have unveiled a clever method called ImagerySearch that lets AI adjust its own settings while it’s generating the video, just like a chef tasting and tweaking a dish on the fly. This breakthrough means future video tools could turn our most imaginative stories into reality, opening doors for creators, educators, and anyone who loves a good visual fantasy. Get ready to see your wildest ideas come alive on screen—one frame at a time. Read article comprehensive review in Paperium.net: ImagerySearch: Adaptive Test-Time Search for Video Generation Beyond SemanticDependency Constraints 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 19 min )

DevOps isn’t always about big deployments or complex architecture. Often, it’s about small, repetitive tasks that quietly eat up your time. I didn’t expect it to work miracles, but I wanted to see if AI could save me time and mental energy. So, I started experimenting with a few prompts to see how far I could push it. To my surprise, some of them worked better than expected. Here’s what I tried and what actually helped me automate parts of my DevOps workflow. Here are the ten key AI prompts for DevOps automation that actually worked for me, and how you can use them too. Whenever we launch a new microservice, I spend hours setting up the CI/CD pipeline. This time, I tried this prompt: “Create a GitHub Actions workflow for building, testing, and deploying a .NET application to AWS.” Within s…  ( 9 min )

Introduction Imagine managing multiple digital platforms where every small design change turns into a complex task, breaking visual consistency across pages. Businesses often face this challenge when styles overlap, updates conflict, and user experiences lose uniformity. Maintaining design accuracy at scale becomes a struggle that directly impacts brand perception. That’s where CSS Modules in Next.js step in, bringing structure, isolation, and reusability to business interfaces. Read on the blog to know more about how this approach simplifies front-end management while keeping your brand identity intact. What Is All About CSS Modules In Next.js CSS Modules in Next.js provide a better-structured way of isolating the styles within a business application and maintaining unique designs fo…  ( 10 min )

clatgpt claudecode collaboration Written by AI This is a submission for Frontend Challenge - Halloween Edition, Perfect Landing What I Built A polished landing page that doubles as a playable 3D Halloween experience. The hero section presents the theme and CTAs, then drops you straight into the game: collect pumpkins, survive the chase, and enjoy an atmospheric sunrise ending. Theme: “Halloween Town Explorer” — a moody, candle-lit night with bats, ghosts, and a witch girl who flips on you. Victory turns night into dawn with a rising sun and birdsong. Highlights Landing-first design Hero + CTA, responsive layout, clean copy, and immediate path to “Play now” SEO/OG/meta ready; accessible navigation and readable content Playable 3D game (HTML5 Canvas) Lightweight raycasting for walls + sp…  ( 7 min )

A while back, I wrote about the Outbox Pattern. Now, it’s time to talk about its essential counterpart: the Inbox Pattern. Before diving into the Inbox Pattern, let’s clarify the three core message delivery guarantees used in distributed systems: In this model, messages are delivered zero or one time—never more. There’s no acknowledgement (ACK) mechanism, so if a message fails to be processed (due to a crash, timeout, or network issue), it’s simply lost. This is common in lightweight or in-memory messaging systems. For example, NATS(in its core mode) supports at-most-once delivery by default. Trade-off: Simplicity comes at the cost of reliability—lost messages are possible unless the sender retries independently. Here, the system guarantees that a message will be delivered at least once. I…  ( 9 min )

Há algum tempo, escrevi sobre o Padrão Outbox. Agora, chegou a hora de falar sobre sua contraparte essencial: o Padrão Inbox. Antes de mergulhar no Padrão Inbox, vamos esclarecer as três garantias fundamentais de entrega de mensagens usadas em sistemas distribuídos: Nesse modelo, as mensagens são entregues zero ou uma vez — nunca mais que isso. Não há mecanismo de confirmação (acknowledgement ou ACK). Se uma mensagem falha ao ser processada (por causa de um crash, timeout ou problema de rede), ela simplesmente se perde. Esse comportamento é comum em sistemas de mensageria leves ou em memória. Por exemplo, o NATS (em seu modo básico) oferece entrega at-most-once por padrão. Compromisso: A simplicidade vem à custa da confiabilidade — mensagens perdidas são possíveis, a menos que o remetente …  ( 9 min )

Favor Composition Over Inheritance Every developer hears this advice at some point: “Favor composition over inheritance.” At its heart, the difference comes down to the kind of relationship you want to model. Inheritance represents an “is-a” relationship — for example, a Car is a Vehicle. It means the subclass should conceptually be a specialized form of the parent. Composition, on the other hand, models a “has-a” relationship — for example, a Car has an Engine. Here, one class simply contains or uses another to get its work done. This distinction seems simple, but it changes how your code evolves over time. Inheritance isn’t bad — it’s just easily abused. It’s the right choice when the relationship between classes truly reflects the idea of specialization. If the child class logically “…  ( 9 min )

You know those “we migrated and everything is 10x faster” posts that leave out the messy bits? This isn’t one of them. I'm a data engineer working in financial services, partnering with Palantir on one of our in-house strategic platforms*. Big, distributed data is part of the day job, so PySpark is the comfortable hoodie we’ve worn for years. But here’s the plot twist: for our small to mid-sized datasets (think: tens of MBs to a few GBs, not petabytes), we started swapping PySpark pipelines for Polars. And the dev loop went from coffee-break to “wait, it’s done?” Let me tell you how that happened, where Polars shines, where Spark still wins, and exactly how to translate those “Spark-isms” you’ve internalized into Polars without wanting to throw your laptop. *Disclaimer: The code and projec…  ( 10 min )

Hey Devs! Let’s talk about a problem we all face: content. Whether you’re creating tutorials for your new open-source project, marketing videos for your SaaS startup, or internal training materials, traditional video production is a massive time and resource sink. You need to write a script, find a quiet place to record, deal with cameras and lighting, stumble through lines, edit out the “ums” and “ahs,” and then maybe, just maybe, you end up with something decent. For most of us, the friction is so high that we just don’t do it. I’ve been exploring the world of AI-powered creation tools to solve this. My journey started with a simple search: “What is the best AI avatar generator out there?” I wasn’t just looking for a tool that could turn my photo into a cartoon. I was looking for a compl…  ( 9 min )

Most AI-automation posts talk about “agents doing everything.” Forcing the agent to say “I don’t know.” This single constraint changed the entire system. The Problem: Agents Guessing When my workflow automation first went live, the planning agent kept inventing missing context: wrong deadlines imaginary stakeholders nonexistent dependencies Not malicious—just probabilistic. In automation, a confident guess is more dangerous than a clear error. The Fix: A Strict “Blocker-First” Contract I rewrote the agent’s system prompt around one rule: If any required field is missing, return: And I enforced JSON validation at the orchestration layer. If the agent guessed → schema failed → task dropped. If the agent asked a question → I answered once → pipeline resumed. Why This Works This turns the model from a “predictor” into a deterministic validator. No silent assumptions No phantom tasks No hallucinated requirements No speculative routing You force the agent into a request-for-information loop, Result Error rate dropped from 27% → 0% in 48 hours. specs were correct release notes matched reality planning tasks stopped drifting nothing moved forward without defined inputs A single constraint unlocked the entire workflow.  ( 6 min )

There is a hunger within us that no meal can fill—a thirst not just for knowledge, but for meaning, for connection, for the shimmering threads that bind the universe together. It is the restless pulse beneath our daily lives, a call to explore the vast terrain of existence through every medium and method available to us. To learn everything is not to accumulate facts or conquer skills. It is a profound act of faith—faith in wonder, in possibility, in the transformational power of discovery. It is the soulful rebellion against the silent prison of routine and the contained identity. It is to say, I am not merely one thing; I am an unfolding story, infinite in chapters, each waiting for light. Leonardo did not see boundaries between disciplines; he saw a living, breathing universe where art …  ( 7 min )

WTF is this: Machine Learning Explainability Imagine you're at a magic show, and the magician makes a stunning prediction about your future. You're amazed, but also a bit skeptical – how did they do it? Now, replace the magician with a machine learning model, and the prediction with a complex decision. That's where Machine Learning Explainability comes in – it's like demanding the magician to reveal their secrets, but instead of a magic trick, it's an artificial intelligence (AI) algorithm. What is Machine Learning Explainability? In simple terms, Machine Learning Explainability (MLE) is a set of techniques and methods that help us understand how machine learning models make their predictions or decisions. Think of it like a "black box" – you put in some data, and the model spits out an an…  ( 11 min )

👋 Introduction MongoDB is a popular NoSQL database designed to store and manage data in a flexible, document-based format using JSON-like documents. Through this hands-on task, I learned how to: Install and set up MongoDB (locally or via cloud using MongoDB Atlas) Import datasets and store records Perform CRUD operations (Create, Read, Update, Delete) Export query results for further analysis This activity helped me understand how real-world data can be stored, queried, and analyzed efficiently using a NoSQL database. ⚙️ Installation Steps I installed MongoDB using MongoDB Compass, which provides a user-friendly graphical interface for database operations. 📂 Importing Dataset Next, I imported my dataset — the Yelp Reviews Dataset downloaded from Kaggle. 💻 Performing Queries 2️⃣ Top 5 businesses with highest average rating 3️⃣ Count reviews containing the word “good” 4️⃣ Get all reviews for a specific business ID 5️⃣ Update a review 6️⃣ Delete a record 📤 Exporting Results After running each query, I used the Export Results feature in MongoDB Compass to save my outputs. 🎓 Conclusion This MongoDB hands-on activity gave me practical experience in managing NoSQL data. Create and manage collections Perform CRUD operations Query and filter data using expressions and patterns Export and visualize real-world datasets MongoDB’s flexible schema and JSON-based structure make it an essential tool for Data Engineers and Analysts, especially when handling large, diverse datasets where relational models are less effective. It’s a valuable skill for anyone interested in data pipelines, analytics, or backend engineering.  ( 7 min )

As a developer, I'm always looking for ways to build impactful projects. One of the most powerful applications of AI is its ability to make the digital world more accessible. I was inspired by Microsoft's mission to empower everyone, so I built a simple web app that helps describe the world for those who are visually impaired. This application uses Microsoft Azure AI Vision to generate human-readable captions for any image you upload. And the best part? We can build the entire web app in about 30 lines of Python using Streamlit. Let's get started! What You'll Need Python: Make sure you have Python 3.7+ installed. An Azure Account: You'll need one to create an "AI Vision" resource. You can get a free account to start. A Few Python Libraries: We'll install them with pip. pip install streamli…  ( 10 min )

When I first started writing Python code, I relied almost entirely on print() statements to figure out what my program was doing. It worked, at least until my projects got bigger. Once I began building real applications with multiple modules, background tasks, and user interactions, the flood of print() outputs became a nightmare to manage. That’s when I realized I needed something more structured, more scalable, I needed logging. Logging is essentially your program’s way of keeping a journal. Instead of dumping random text to the console, you record meaningful messages that describe what your application is doing, when it’s doing it, and, most importantly, what went wrong when things break. A well-placed log message can save you hours of debugging. The power of logging it’s not just about…  ( 19 min )

TL;DR CinemaSins just dropped “Everything Wrong With Thunderbolts* (The New Avengers) In 20 Minutes Or Less,” where they gleefully tally every movie misstep—while secretly admitting they kinda dig the flick. Wanna dive deeper? Hit up their website, YouTube channels (@TVSins, @commercialsins, @cinemasinspodcastnetwork), join their Discord/Reddit communities, fill out the sinful poll, or support them on Patreon. Follow the writers (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel) and stalk CinemaSins on Instagram and TikTok for more movie-mocking goodness. Watch on YouTube  ( 6 min )

I've made a few tutorials on Signal Forms now, and I've seen the comments. Some of you said the old Reactive Forms way is just as good, or you just still like it better. And I get it. Maybe the benefit hasn't been obvious. So today, I'm going to show you a real-world form (the kind that gets messy fast) and we're going to rebuild it using Signal Forms. By the end of this post, hopefully you'll see the advantage, not just hear me say it. What This Form Needs to Do For this demo, we're going to work with an existing form that allows a user to create an account: When I switch this account type to Business, we automatically get a Company Name field added: This is what we call conditional form structure. Super common, but can get super messy. Then we have a password field with …  ( 15 min )

This is a submission for the Agentic Postgres Challenge with Tiger Data I recently had a chat with a friend who works in an e-commerce company, and he was complaining that his company spent a fortune on an AI Customer Service application, only to see an increase in user complaints. I asked him what was going on, and he showed me a real conversation: User: "I want to return this laptop. Also, I wanted to ask, how does the warranty work if I exchange it for a new one?" AI Customer Service: "Okay, I can process the return for you. Please provide your order number." User: "??? What about my warranty question?" AI Customer Service: "Sorry, how can I help you?" Here is where the problem with router-based Conversational AI is, which routes messages to agents who own specific topics and tasks. The…  ( 10 min )

Build a YouTube Search & Download API Integration in Minutes (with Apigle API) 🚀 In this quick tutorial, we’ll explore how to integrate the Apigle YouTube Search & Download API to fetch metadata, analyze videos, and even download MP3/MP4 content — all through a single endpoint. As developers, we often need to fetch YouTube metadata, analyze titles, or download video/audio files for automation tasks — such as: Building media downloaders or content archivers Powering SEO or analytics dashboards Creating educational or music apps Running internal video-processing pipelines However, most public APIs either limit downloads or are too slow. Apigle YouTube Search & Download API — a single unified endpoint that delivers both search and download features with 99.5% uptime. 👉 RapidAPI link: htt…  ( 7 min )

I’d been one of those people who talk about Bitcoin like they’ve used it forever but, in reality, I hadn’t done much beyond watching the charts and reading threads. It was all theory until it was not. One afternoon, I was at a crowded electronics repair shop. I was looking around the faded signs and suddenly stopped at a sign saying "Bitcoin Accepted(Lightning Only). The guy behind the counter, probably the owner, seemed quite experienced; he might have seen it all: phones, printers, and a few individuals like myself attempting to appear tech-savvy. “Does that actually work?” I asked. He gave a half-smile. “Depends on who is trying to pay.” Challenge accepted. I took out my phone and opened the Lightning wallet I'd been meaning to try for weeks. He handed me a laminated QR code that had de…  ( 7 min )

Remember when creating a simple data class in Java felt like doing some sorts of heavy labor? A handful of fields, 100 lines of code (well, not 100 lines, but is pretty close), and the existential dread of knowing you'd have to do it all again, even with the help of IDE? Yeah, Java 16 finally said "our bad" and gave us Records. If you're still writing POJOs like it's 2010, buddy, we are not the same. A real life use case: You want to store a name, age, and email. In the old days, you'd write a class, add fields, generate getters, generate setters (even though you don't want them), generate equals(), generate hashCode(), generate toString(), and then realize you forgot to update equals() after adding a new field. The reviewers told you to update. You hate yourself. Now? You write this: pub…  ( 10 min )

https://medium.com/@natarajanck2/understanding-urls-the-internets-address-system-explained-simply-cd7f6d562c33  ( 6 min )

Sometime ago, I created an MCP server with C#. It was just a basic project I was trying to learn how MCP works, and I followed this Microsoft blog This blog is not a step-by-step tutorial on how to create an MCP server, but more about what I think of MCP after building one. Now, about why I don’t really love MCP. I don’t hate it — it’s just “okay” for me. AI is powerful, but it’s still not fully accurate or secure. If you’ve worked with AI before, you know how easily it gets confused or stuck repeating the same thing. MCP depends heavily on natural language, which makes it even more unreliable in real use cases. For example, let’s say you build a simple MCP tool that just adds two numbers. When you connect your AI agent and ask, “Can you add 1 + 1?”, there’s a high chance the AI will just …  ( 7 min )

In today’s digital economy, trust is everything. Whether it’s finance, healthcare, or supply chain, businesses are seeking transparent and secure ways to exchange data and value. That’s where blockchain technology steps in — and companies like Oodles are helping organizations adopt it with confidence. As a leading Blockchain Solutions Company, Oodles specializes in building custom blockchain ecosystems that drive automation, security, and efficiency across industries. Blockchain isn’t just about cryptocurrencies anymore — it’s about creating tamper-proof systems that enhance transparency and accountability. Key benefits businesses gain from blockchain include: Immutable records: Data cannot be altered once stored. Smart contracts: Automated, self-executing business logic. Decentralization:…  ( 7 min )

When I first heard about the Google Cloud Run Hackathon, I was intrigued by the AI Agent track and the potential of Cloud Run. Around the same time, I was reviewing an employment contract for a new job offer, and I realized how difficult it can be for individuals to understand complex legal language. That’s when the idea for Lexi was born. I created Lexi to make legal analysis more accessible and easy to understand. Powered by multi-agent orchestration and Google’s ADK framework, Lexi reads, analyzes, and explains contract clauses in clear, human-friendly language — turning dense legal text into insights anyone can grasp. Here’s what Lexi can do: ✍️ AI-powered Clause Analysis 📚 Standard Clause Comparison 🧪 Risk Detection & Explanation 🧩 Multi-Agent Orchestration 🎓 Plain-Language Summar…  ( 8 min )

Please give me star ⭐ if this is helpful for your work. Github Repo: bigdata5911/schema-guided-reasoning I came across (and tried out) a really interesting project called Schema-Guided Reasoning (SGR) — a small but powerful demo showing how to make AI agents that can reason, plan, and take action using structured logic. Instead of just chatting, this agent can actually do things — issue invoices, send emails, or apply business rules — all based on clear, validated schemas. It’s a great example of how you can combine reasoning with structured outputs to make AI more reliable and explainable. The idea behind SGR is simple but clever: instead of letting an AI respond freely in text, you guide its reasoning through a schema — basically, a blueprint that defines what kind of outputs it can prod…  ( 8 min )

In the hyper-competitive world of B2B SaaS, generating a steady stream of high-quality leads is non-negotiable. The companies that truly scale don’t just hope leads will come in, they build repeatable frameworks that funnel, nurture and convert prospects into clients. Here are five proven frameworks used by leading B2B SaaS companies, each one distinct, yet complementary, that you can adapt for your business (or for clients of your agency, such as those serviced by Tapistro). The first framework is all about building awareness and interest at scale (demand generation), converting that interest into captured leads, then nurturing those leads until they’re sales-ready. • Demand Generation: At this stage, top SaaS companies invest in content, SEO, thought leadership and paid channels to bring…  ( 10 min )

Short URLs look simple, right? But designing a scalable URL shortener that can handle millions of requests per second is an entirely different game. I wanted something lightweight, fast, and globally unique — without depending on auto-increment IDs or UUIDs. That’s when I discovered the power of Snowflake IDs and Base62 encoding. Why Snowflake IDs? Traditional databases can’t safely generate sequential IDs once you scale across multiple servers. You risk collisions or need heavy synchronization. Snowflake IDs solve that beautifully. 64-bit unique identifiers that combine: Timestamp (for order) Machine ID (to avoid overlap) Sequence number (for uniqueness) This way, every short URL gets a unique, time-ordered ID — even if generated across different instances. So, for example: snowflakeID = 177101848939540480 looks huge, but it’s guaranteed unique and sortable. Base62 Encoding – Making IDs URL Friendly A Snowflake ID is long and not URL-friendly. abc123, I used Base62 encoding, which uses: 0-9, A-Z, a-z That means: Every number turns into a short, readable string. No weird characters — safe for URLs. Compact and consistent across systems. So, 177101848939540480 → "bA7zD4" Neat, right? Bitly and TinyURL generate their neat short codes. Why Microservices? I also split the system into small services: ID generator Redirect handler Analytics tracker Each service runs independently, making it easy to scale horizontally as traffic grows. Full Breakdown In my full post, I’ve explained the entire architecture, scaling decisions, database design, caching strategy, and microservice communication flow in depth. 👉 Read the full article here: Designing a Scalable URL Shortener — Snowflake IDs, Base62 Encoding, and Microservices Even a “simple” project like a URL shortener can teach powerful lessons about distributed systems, unique ID generation, and real-world scalability. If you’re building backend systems, this is a great place to start learning how to scale smartly — not just widely.  ( 7 min )

BOX MODEL CSS margin : space outside element padding : space inside element border : line around element border-radius : rounded corners width/height : size of element max-width/min-width : size limits box-shadow : adds shadow overflow : what happens when content is too big div { overflow: auto; }  ( 6 min )

As developers, we've all dealt with buggy third-party scripts. Consent Management Platforms can be particularly frustrating. Let me share the common issues I've encountered and how SeersAI's Google Gold Certified solution addresses them. Many CMPs tank your page load speed. They add heavy JavaScript files that block rendering. Users see a blank screen while the consent banner loads. I've debugged sites where the CMP added 3+ seconds to load time. That's unacceptable in 2025. SeersAI loads asynchronously. The banner appears without blocking other page elements. Their script is optimized and uses minimal resources. Your Core Web Vitals won't suffer. Testing consent banners across browsers is a pain. Some CMPs work fine in Chrome but break in Safari or Firefox. Mobile browsers create even mor…  ( 7 min )

I've been studying computer science for some time, and I always assumed I had a solid grasp of how computers work. They process data, execute programs, and occasionally freeze when I overload them with too many Chrome tabs. Then I started reading about supercomputers, and suddenly everything I thought I knew felt tiny. The scale, the speed, and the complexity were on a completely different level. It all began with a project for my Parallel Computing class. The assignment seemed simple: pick two supercomputers from the TOP500 list and compare them. I went to the site and started scrolling. The first name that caught my eye was El Capitan. Next to it was the word "exaflops," which I didn't really understand, but it sounded impressive. For the second one, I chose Fugaku, mostly because the n…  ( 9 min )

During my recent system design interviews, the most challenging question I faced was: “Design a Slack-like messaging platform.” I stumbled initially – the requirements seemed simple, but the complexity lurked beneath the surface. Over time, I developed a structured approach that helped me confidently architect real-world chat systems. Today, I’ll share that journey and the lessons learned so you can ace this common interview prompt. My early mistakes: I jumped into system design without clear requirements. The interviewer said “Slack system,” and I hastily assumed all its functionalities. What you should do instead: Ask open-ended questions: Should users be able to send direct messages and group chats? Do messages need to be persisted indefinitely? Should there be offline message support…  ( 9 min )

Introduction If you are studying IT or computer science, you have probably heard of React. It is one of the most popular JavaScript libraries for building modern web applications. But what makes it so important, and why should every IT student learn it? The Power of Components React is built around a simple idea called components. These are small pieces of code that handle a specific part of your website, like a button or a form. Once you make a component, you can reuse it anywhere. This makes development faster and cleaner. Real Industry Demand Most companies today are building web apps using React. From startups to large tech companies, it is used everywhere. Learning it not only helps you build your own projects but also gives you an advantage when applying for internships or jobs. Easy to Learn and Practice React is beginner friendly. If you know basic HTML, CSS, and JavaScript, you can start building simple apps in just a few days. There are many tutorials and documentation available online to guide you. Conclusion React is not just another technology trend. It is a skill that can open many doors for you in the IT world. Whether you want to become a front end developer or build your own projects, learning React is one of the smartest moves you can make today.  ( 6 min )

In today’s fast-paced financial world, “predictive analytics” has become a buzzword that promises market foresight and effortless profits. Trading firms, hedge funds, and even retail investors are increasingly adopting AI-driven analytics tools to anticipate price movements and optimize strategies. But amid the hype, one crucial question remains — how much of predictive analytics truly works, and how much is marketing fantasy? This article unpacks the real value of predictive analytics in trading — the data, models, and limitations that separate genuine innovation from overhyped expectations. The Rise of Predictive Analytics in Trading Predictive analytics refers to using statistical algorithms, machine learning, and data models to forecast future events based on historical data. In tradi…  ( 8 min )

For years, rollups in blockchain have been the industry's best answer to Ethereum's scalability problem. They process transactions faster and cheaper by moving computation off-chain, then posting batched results back to Layer 1. However, even the most efficient rollups charged $0.50 to $2.00 per transaction during peak times, making them too expensive for everyday applications like social media, gaming, or micropayments. The reason is surprisingly simple. While rollups in blockchain handle execution efficiently, they still need to store transaction data somewhere permanent and verifiable. Ethereum's block space costs around $0.50 per kilobyte, and data availability expenses consume up to 90% of rollup transaction fees. This bottleneck has limited what Rollup as a Service providers could of…  ( 9 min )

The rise of no-code platforms has completely changed how we build software. From eCommerce apps to internal dashboards, no-code tools empower business owners, marketers, and creators to launch digital products faster than ever. But with great convenience comes great responsibility — especially when it comes to data security, user permissions, and role-based access control (RBAC). In this blog, we’ll explore how to manage these critical aspects safely and effectively in no-code environments — without losing the flexibility that makes them so powerful. Why Data Security Matters More Than Ever No-code platforms make it simple to connect databases, APIs, and third-party tools — but that also introduces potential risks. Sensitive customer information, payment data, or internal business insights…  ( 9 min )

10 Smart R Programming Tips to Become a Better R Programmer Dipti Moryani ・ Nov 7  ( 6 min )

🧭 Table of Contents What is Azure AI Studio? Core Components of Azure AI Studio Setting Up Azure AI Studio Creating and Managing AI Projects Connecting and Using Azure OpenAI Models Hands-On: Your First AI Chat App in Python (Beginner-Friendly) Real-World Use Cases Related Tools and Libraries Common Developer Questions Conclusion 👉 Follow LinkedIn, Twitter for more developer-focused tutorials on Azure, AI, and DevOps Azure AI Studio is a collaborative workspace for developers to create, test, and deploy AI-powered solutions using Microsoft’s AI ecosystem. It integrates Azure OpenAI, Cognitive Services, AI Search, and ML tools into a single interface. Think of it as Visual Studio for AI, where you can experiment with prompts, fine-tune models, connect datasets, and deploy AI endpoints. K…  ( 9 min )

Let’s be real for a moment: Design the product. But the internet has changed. And the smartest players are changing with it. Today, the real wins are going to the people who leverage systems — not the people who grind harder. And this is where PLR Funnels hits different. ✨ What if you could get 100+ ready-to-launch funnels, products & marketing assets… already built for you? No planning. Just copy → launch → promote → earn. This platform gives you: Done-for-you funnels Fully designed sales pages Email sequences Lead magnets Training products Marketing scripts & strategy breakdowns Everything plug-and-profit ready You’re not starting from zero. 💡 Why this is powerful for anyone starting today: You don’t need to be: A designer A coder A marketing guru A business strategist You just need drive. The result? This is how modern entrepreneurs scale without stress, without chaos, without confusion. 🔥 And here’s the part no one tells you: You can use these products to: Build your own digital business Sell high-value offers instantly Grow your personal brand OR Resell them and keep the profits. Yes — earn without creating anything yourself. This isn’t theory. 👑 If you're serious about earning online this year – this is not something you “check later.” This is the kind of opportunity you claim before the crowd wakes up. Because the ones who move first, build fastest. Here is your direct access: Click Here Stop building everything from scratch. The next chapter of your income doesn’t require more effort. Step in. Your future is already waiting.  ( 7 min )

Traditional Ads Don't Work in AI Conversations. Here's What Does. As developers, we’re witnessing a surge in AI applications. From chatbots to virtual assistants, the possibilities are endless. However, one fundamental challenge remains: monetization. Traditional advertising models struggle to fit into the seamless interactions that define AI conversations. But what if there was a way to turn this challenge into an opportunity? Enter Monetzly, the first platform designed for developers to monetize their AI apps while embracing conversation-native advertising. Imagine a world where you can both monetize your AI application and earn from hosting relevant ads without disrupting user experience. Monetzly is pioneering this dual-earning model. Developers can integrate our SDK in just five min…  ( 7 min )

You’d probably know what is Black Friday 2025 and why it’s important. Chances are, that’s precisely why you’re here. You’re expecting a surge of eager shoppers (or readers) to flood your website, and the last thing you want is for your WordPress site to crash during a serious traffic surge. So, let’s skip the fluff and avoid the long history lessons about Black Friday. This article gets straight to the point: how to prepare WordPress sites for the Black Friday rush. With a few smart tweaks (and the right tools, like WP Umbrella), you can keep your site fast and secure, no matter how many deals you’re serving. When is Black Friday 2025? Mark your calendars: Black Friday is on November 28th, 2025. If your hosting goes down, nothing else matters. During Black Friday, a WooCommerce store can…  ( 11 min )

Top 10 AI Tools for Kubernetes Optimization Kubernetes clusters at enterprise scale create a combinatorial management problem of cost, reliability, security, and developer velocity, and in 2026 AI-driven platforms are the primary way teams tame that complexity. This article explains how AI and machine learning are applied to Kubernetes—covering predictive autoscaling, anomaly detection, FinOps automation, and MLOps orchestration—and shows which tools lead the market for each capability. Readers will learn the key AI capabilities transforming operations, a curated list of the ten best tools that leverage ML for cost and performance, a practical vendor comparison matrix to shortlist by need, and a selection checklist mapped to enterprise personas (FinOps, SRE, platform engineering, and MLO…  ( 17 min )

Vector Podcast episode: educational bit Two weeks ago I had a pleasure to co-host a lightning session together with Trey Grainger on a novel idea in vector search called "Wormhole vectors". The approach contrasts itself to a hybrid search approach. Wormhole vectors opens a new way to transcend vector spaces of different nature: Query in the current vector space Find a relevant document set Derive a "wormhole" vector to a corresponding region of another vector space Traverse to the other vector space with that query Repeat as desired across multiple traversals More specifically, if you come from a sparse space, taking a set of returned documents you can pool their embeddings into one embedding and use it as a "wormhole" into the dense vector space. Recording on YouTube: What you'll learn: W…  ( 7 min )

If you’ve ever wondered how websites come alive — how buttons respond when you click them or how animations glide smoothly across the screen — the answer often lies in JavaScript Tutorial. It’s the language that breathes life into web pages. Whether you’re a student, aspiring developer, or someone curious about how the web works, learning JavaScript is your first real step into the world of web development. What is JavaScript? JavaScript (often shortened to JS) is a programming language used to make web pages interactive, dynamic, and functional. While HTML structures the content and CSS styles it, JavaScript adds the behavior. HTML builds the “skeleton” of your web page. CSS dresses it up with colors, layouts, and fonts. JavaScript brings it to life — making things move, respond, and re…  ( 8 min )

4 ChatGPT Hacks to Halve Your Workload Fed up with endless prompt tweaking? This guide rolls out four killer techniques—Prompt Reversal, the 5-Minute Amplifier, Red Teaming, and Blueprint Scaffolding—that let you reverse-engineer your best prompts, spin one asset into multiformat gold, get AI to self-critique, and force it to map out its reasoning before diving in. Each hack comes with real-world examples so you can start hacking away at your tasks immediately and cut your AI workflow in half. Watch on YouTube  ( 6 min )

Every brand today lives and breathes visuals. Whether you’re browsing on Amazon, Etsy, or Instagram, it’s the image that grabs attention before the price tag ever does. Big brands have entire creative teams, professional photographers, and post-production studios dedicated to perfecting every product photo. Small retailers, on the other hand, often juggle photography, editing, and marketing — all at once. That’s where AI-powered batch background removers come in. These tools let even the smallest stores create high-quality, consistent product images that rival big brands — without expensive software or outsourcing costs. In this post, we’ll explore how small retailers can use batch background removers to compete with big brands, build consistent visual identities, and boost online sales. W…  ( 8 min )

Hey dev.to community, For sports enthusiasts and analysts, a static depth chart is just the starting point. The real value comes from understanding player roles, tracking subtle changes, and visualizing their impact dynamically. Building an interactive depth chart web application, especially for a site like Penn State Depth Chart or Texas Football Depth Chart, transforms raw data into an engaging and insightful experience. This post dives into how you can achieve this using a modern stack: React for the UI, D3.js for powerful data visualization, and a real-time backend. The Problem with Static Depth Charts No Context: Difficult to visualize player relationships, backups, or positional flexibility. Poor Engagement: Users just read, they don't interact or explore. Dated Info: Requires consta…  ( 8 min )

Mulholland Drive lands at No. 6 on Sean Fennessey and Amanda Dobbins’s yearlong countdown of the 25 best 21st-century films. In this episode of The Ringer-Verse, they gush over David Lynch’s ultimate surrealist masterpiece, celebrate Naomi Watts’s career-making turn, and dig into all the wild conspiracy theories and fan interpretations that keep this Hollywood puzzle box endlessly fascinating. They also marvel at how Lynch fuses classic Tinseltown glamour with European dream logic, Americana tropes and a dash of sinister outsider art—proof that Mulholland Drive still feels as fresh and mysterious today as it did at its premiere. Watch on YouTube  ( 6 min )

Predator 2 – Caravan of Garbage takes the iconic alien hunter out of the jungle and drops him into Danny Glover’s sweltering, crime-infested Los Angeles. Released in 1990 after the original’s massive success, it swaps Schwarzenegger for a more grounded cop drama, throws in a ruthless new Predator and a memorable Gary Busey cameo, and leans hard into urban chaos. Missing some franchise hallmarks yet packing plenty of pulpy thrills, this sequel proves that Predator’s strength isn’t just in dense foliage but anywhere you’ve got heat, violence and a badass extraterrestrial on the prowl. It’s a messy, entertaining detour that’s worth the ride if you’re up for something different. Watch on YouTube  ( 6 min )

Containers revolutionized software delivery — fast, portable, and reliable. But managing hundreds of containers across servers? That’s where Kubernetes (K8s) comes in. Let’s explore the complete architecture of Kubernetes, why it’s used, and how it powers modern cloud infrastructure. 🌩️ Kubernetes (K8s) is an open-source container orchestration platform originally developed by Google and now maintained by the Cloud Native Computing Foundation (CNCF). It automates: 🧩 Deployment of containers ⚙️ Scaling and load balancing 🛠️ Self-healing and rolling updates 🔐 Configuration and secrets management In short: Kubernetes ensures your containerized applications run exactly as intended — automatically and reliably. Kubernetes is built on two major layers: Control Plane (Master) → Brains …  ( 7 min )

The industry of tailoring was always about precision, innovation, and customer satisfaction. However, in 2025, there will be more expectations than ever before. Customers do not just want flawless fittings but also speedy delivery, regular updates, and a professional experience. The running of a tailor shop using manual processes, paper notes, ledgers, or measuring systems that are based on memory often leads to delays and errors, as well as missed chances. This is the point where the Tailoring Management System (TMS) is able to help. A TMS aids tailor shops in managing everything from customer information to orders, inventory, and billing, all from one location. With the help of a digital platform, the tailor shops will be able to work more efficiently, reduce time, and develop lasting re…  ( 10 min )

RefusalBench: Teaching AI When to Say “I Don’t Know” Ever wondered why a friendly chatbot sometimes gives a weird answer instead of staying silent? Scientists have unveiled a new test called RefusalBench that checks whether AI can wisely say “I don’t know” when the information it sees is shaky. Stay curious and watch this space for smarter, more responsible machines. Read article comprehensive review in Paperium.net: RefusalBench: Generative Evaluation of Selective Refusal in Grounded LanguageModels 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 19 min )

🚀 Using Cursor and Trigger in SQL (with Examples) 🔹 Cursor Example: Employees with Salary > 50,000 Step 1: Employee Table -- Sample Data Step 2: Cursor with Condition SET SERVEROUTPUT ON; DECLARE 🔹 Trigger Example: AFTER INSERT on Student Table Step 1: Create Student & Audit Tables CREATE TABLE Students ( StudentID INT PRIMARY KEY, StudentName VARCHAR(50), Department VARCHAR(50) ); CREATE TABLE Student_Audit ( AuditID INT IDENTITY(1,1) PRIMARY KEY, StudentID INT, ActionTime DATETIME, ActionPerformed VARCHAR(50) ); Step 2: AFTER INSERT Trigger CREATE OR REPLACE TRIGGER trg_AfterInsert_Student Step 3: Test the Trigger INSERT INTO Students VALUES (1, 'Mike', 'CSE'); SELECT * FROM Student_Audit; 🎯 Conclusion Cursor lets us fetch data row by row and apply conditions. Trigger automates actions after an event (INSERT/UPDATE/DELETE). Together, they help in data processing and auditing in real-time.  ( 6 min )

Hello and welcome to the new blog In today's section, we will be discussing how to build the website templates. The story begins with working on multiple projects at the same time, which most developers do. I'ven't found one developer who works on one project at a time. And I truly believe it's not a wrong or time-wasting activity unless most of your work is not going into vain, pushing you back to poverty. But on a lighter note, every day hard work pays off, that's what my uncle told me when I got quite a low rank in a competition exam. Handling multiple projects is not time-wasting but can help you learn time management effectively, and one good way is to quickly launch the product in the market. To launch any product in the market, one needs frontend websites that most of the software d…  ( 12 min )

Seguramente al abrir tu carpeta de descargas o cualquier otra te encuentras con una cantidad incontable de archivos de diferente tipos (imagenes, documentos, instaladores, etc) mezclados y te ha tocado buscar desesperadamente ese pdf que contiene la tarea que te hizo chatgpt, tardando un tiempo considerable y pensando 'que flojera', o teniendo que ordenar 20 pdf, 10 imagenes y 5 instaladores manualmente. Yo tambien habia pasado por esto, y por eso decedí crear un script que me permitiera seguir vagueando mientras mis archivos estan perfectamente ordenados. Github Para construir esta herramienta use varias librerias de Python, algunas que ya vienen incluidas ("biblioteca éxtandar") y una externa para que me notifique cuando el script se esta ejecutando. import os import shutil import sys fr…  ( 9 min )

Hi all, I'm writing about a tool I've built. It's called SpinnyLights. In a nutshell, this thing produces positive-only recognition based on your public github activity. Like, all your public GitHub activity ever. It cites proof for the statements it makes, linking to GitHub issues/pull requests/commits/files/etc. Here are some examples: https://spinnylights.com/Tooluloope https://spinnylights.com/mastacontrola https://spinnylights.com/t0gun https://spinnylights.com/wayneworkman (my own) The slogan, "by consent" means you have control over your recognition visibility and other aspects. You approve before it goes live, and you can unpublish anytime. This separates SpinnyLights from other similar tools that don't gather consent. The idea is to use your SpinnyLights recognition to: show people what you've been up to. Feel good about your accomplishments and journey. submit as candidate-supplied material to job applications. link recruiters to it and say "Here's what I've done" another public URL to put into that "other remarks" box or that "website" field on job applications. Am I selling to you? yes and no. There are three free recognitions available to whoever takes them each day. That limit resets each day. If you don't want to wait, you can pay $29. I hope you all find it useful. I'd also appreciate any feedback that you have. Visit the site and get your recognition: https://spinnylights.com/ I look forward to seeing your SpinnyLights recognitions! Thanks, Wayne  ( 6 min )

👋👋👋👋 Looking back on your week -- what was something you're proud of? All wins count -- big or small 🎉 Examples of 'wins' include: Getting a promotion! Starting a new project Fixing a tricky bug Getting your development environment set up without wanting to flip a table Happy Friday!  ( 6 min )

🔗 Useful Links Complete GitHub Repository - Complete source code In modern enterprise application development, it's common to encounter systems that require coordination of multiple services to complete a business operation. Imagine you need to process an order in an e-commerce system: Check inventory - Is stock available? Process payment - Is the transaction valid? Schedule shipping - How will it reach the customer? Notify customer - How do we inform about the status? Without proper design, the client code becomes complex and tightly coupled: # ❌ Complex client code without Facade def process_order_without_facade(customer, product, quantity, payment): # Client must know ALL internal details inventory = InventoryService() payment_gateway = PaymentGateway() shipping = …  ( 12 min )

Check out this Pen I made!  ( 5 min )

This module was built entirely on my own time using my personal laptop, personal AWS accounts, and personal funds (RIP my credit card). All development and testing was done independently using my own resources. Just released v0.2.1 of my Terraform module that does autonomous CloudWatch Alarm triage using AWS Bedrock, and I've got to say, it's been a real eye-opener seeing it in action. The module essentially gives your CloudWatch alarms the ability to investigate themselves when they go off. Here's the thing about production incidents, when an alarm fires at 2am, whoever gets paged is coming in cold. They're scrambling to understand what's happening, digging through logs, checking metrics, trying to piece together the story while the clock ticks and stakeholders start asking questions. By …  ( 10 min )

Are you paying thousands of dollars for running Lambda functions in your AWS accounts. That's a common scenario where you start of Lambda functions as it is cheap but over time when you invoking the Lambda thousands of times, your bills just go high and you can't figure out how to reduce it. In this article, I will talk about steps you can take to reduce the cost. Before we can reduce the cost, we need to understand where the cost is coming from. Let's go through a few metrics. Invocations: How often are the Lambda functions being called? Is the architecture correct? Do you need to call it that often. Duration: How long are the functions running for each invocations? Does it need to run for so long? You can optimise but updating the memory configuration which allow the Lambda to run …  ( 8 min )

As developers, we spend countless hours in terminal emulators. Whether we're SSHing into remote servers, running build scripts, or managing deployments, the terminal is our second home. But most terminal applications feel outdated, lack modern features, and don't prioritize security. That's why I built Kerminal—a modern, feature-rich terminal emulator with advanced SSH management, multi-device synchronization, and enterprise-grade encryption. In this article, I'll share the journey, the technical decisions, and the lessons learned. The story of Kerminal started with a simple, urgent need: I needed a terminal app that could manage my SSH connections and sync them across devices. Like many developers, I was juggling multiple servers and constantly switching between my work laptop, personal m…  ( 12 min )

Yesterday, I explained the OSI model and why each layer matters for AWS. Today, I show you what switches and routers actually do. Here is what clicked for me, Networking is not magic. It comes down to three tables and three actions. That is it. Once you understand these tables, you understand how data flows from your laptop to AWS and back. Let me show you. Before we dive into how they work, you need to understand what they do. Switches: Move data WITHIN networks Your home Wi-Fi? That is a network. All your devices (laptop, phone, printer) connect through a switch (often built into your router). The switch handles communication between devices on the same network. Routers: Move data BETWEEN networks Your home network is separate from AWS's network. A router connects these different network…  ( 17 min )

Fetching data and loading components in React has traditionally revolved around the useEffect and useState hooks, requiring manual management of loading and error states. While effective, this often leads to boilerplate code. React Suspense, combined with features like React.lazy, offers a more powerful, declarative alternative for handling asynchronous operations. Let's explore how Suspense revolutionizes both data fetching and code splitting. useEffect and useState In the conventional pattern, the component is responsible for tracking its own loading and data state. We use useState to hold the data and a loading flag, and useEffect to perform the fetch operation. import React, { useState, useEffect } from 'react'; function UserProfile({ userId }) { const [user, setUser] = useState(n…  ( 9 min )

Securing secrets in your Docker-based app is critical—but the official Docker "secrets" feature is tied to Swarm, and the popular *_FILE pattern isn't supported by every image. How can you manage API keys, passwords, and tokens securely and flexibly in plain Docker Compose setups? Let's break it down. Your Image Supports the *_FILE Pattern Many official Docker images (like MySQL, Postgres, Redis) support environment variables such as DB_PASSWORD_FILE and API_TOKEN_FILE. This is the easiest and most secure way to mount secrets. Steps: Create secret files: echo "db-password-here" > db_password.txt echo "api-token-here" > api_token.txt Reference secrets in docker-compose.yml: version: '3.8' services: db: image: mysql secrets: - db_password …  ( 7 min )

Tired of endless prompt tweaking? Jeff Su rolls out four killer ChatGPT hacks—Prompt Reversal, the 5-Minute Amplifier, the Red Team Technique, and Blueprint Scaffolding—that slash your AI workflow in half with real-world examples you can steal today. These tricks let you reverse-engineer your best prompts, instantly spin one piece of content into multiple formats, get AI to critique its own work, and force it to map out its reasoning before executing. Whether you’re in marketing, dev, or any other industry, you’ll be done faster and with better results. Watch on YouTube  ( 6 min )

Hey everyone 👋🏾 Godfred Kwesi Agyeman (@kwesithedev), a full-stack JavaScript developer from Ghana 🇬🇭. I’ve been on a mission to turn my ideas into real, working products — and to grow into a developer who can build things that actually solve problems. I’m currently learning through the FullStackOpen course, but most of my focus right now is on building projects and real-world experience. My current stack includes: React & Next.js for frontend and full-stack apps Node.js for backend APIs Supabase & Firebase for auth and data MongoDB (and learning PostgreSQL + Prisma soon) TailwindCSS for fast, clean UI design React Native for mobile apps I’m also getting deeper into payment integrations — things like Stripe, Paystack, and Flutterwave — because I want to build products that can actually transact and make money. Why I’m Here To be honest, I’ve dealt with imposter syndrome and a lack of resources — but I’ve learned that building real projects is the best way to learn and grow. So this space (and this post) marks the start of me: Sharing my journey as I learn, build, and grow Posting about what I create and what I learn from it Connecting with other devs who are doing the same I believe that being open about the process — the wins and the mistakes — helps others and keeps me accountable. My Goals In the coming months, I’m focused on: Building a strong project portfolio that shows real skills Finding freelance gigs or collaborations Gaining consistent income through my work as a developer Growing into a developer who contributes to both local and global tech communities Let’s Connect If you’re also learning, building, or freelancing — I’d love to connect, learn from you, or collaborate on projects. You can find me here: LinkedIn 💻 GitHub 🐦 Twitter (X) Thanks for reading! If you’re on a similar journey, drop a comment — I’d love to hear where you’re at and what you’re building.  ( 7 min )

Generative AI provided the easiest way to interact with artificial intelligence through prompts. You can enter few prompts and get the exact information you need from generative AI tools like ChatGPT. With the right prompt engineering certification course, you can learn how to create the perfect prompts that make AI models generate accurate results. Prompt engineering has emerged as a promising discipline in the domain of artificial intelligence for empowering AI models. You might assume that prompt engineering only requires asking the right questions. However, there are many things you must learn before pursuing any professional certification in prompt engineering. The first thing you must know before getting certified in prompt engineering is the list of responsibilities of prompt engin…  ( 8 min )

The 25 Best Movies of the Century No. 6 – Mulholland Drive Hosts Sean Fennessey and Amanda Dobbins pick up their year-long countdown to celebrate David Lynch’s Mulholland Drive, ranking it among the 21st century’s finest surrealist films. They gush over Naomi Watts’s stunning breakout turn and dish on all the wild conspiracy theories and head-scratching interpretations that keep viewers coming back. What makes Mulholland Drive so unforgettable? It masterfully fuses small-town Americana and classic Hollywood glamour with European surrealism and sinister outsider art, creating an endlessly mysterious, gorgeously dreamlike ride that still baffles—and enchants—audiences today. Watch on YouTube  ( 6 min )

CinemaSins is back with a tongue-in-cheek Halloween special, promising to roast one of the year’s greatest genre films in under 15 minutes. They’ll point out every “sin,” dish out a few laughs, and celebrate why the movie rules—because even the best flicks aren’t immune to a little fun. For more mischief, they link to their website, YouTube channels (@TVSins, @commercialsins, @cinemasinspodcastnetwork), social media, a fan poll, and Patreon. The blurb also credits their team of writers and invites you to join their Discord, Reddit, and other socials for all things CinemaSins. Watch on YouTube  ( 6 min )

How AI Is Learning to Read Like a Human Ever wondered why chatbots sometimes miss the point? Scientists have discovered a new way to teach AI to “read” documents the way we do, turning scattered text into a clear story. It’s a step toward AI that truly understands context, making everyday interactions smoother and more reliable. Imagine a world where every digital helper reads with human insight—the future is already turning pages. Read article comprehensive review in Paperium.net: MoM: Mixtures of Scenario-Aware Document Memories for Retrieval-AugmentedGeneration Systems 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 19 min )

Everything Wrong With Thunderbolts* (The New Avengers) In 20 Minutes Or Less CinemaSins just dropped their latest “Everything Wrong With…” video, this time rolling through every nitpick in Thunderbolts (aka The New Avengers) in under 20 minutes. They rack up a hefty list of “sins,” but surprise—they might actually think the movie’s kinda great after all. Writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel bring the heat, and you can get in on the fun via their poll, Patreon support, Discord, Reddit and every social channel under the sun. Watch on YouTube  ( 6 min )

Predator 2 – Caravan of Garbage takes you from jungle hunts to a scorching, crime-riddled Los Angeles where Danny Glover leads the charge against an even more vicious Predator (with a cameo by Gary Busey). It’s a fresh, fun twist on the franchise that works if you’re up for something different than Arnold in the jungle. For early videos, bonus podcasts, movie commentaries and Let’s Plays, head to bigsandwich.co. Catch the extended audio edition on YouTube, follow the hosts on Twitter, subscribe to the channel, support on Patreon, or grab some merch while you’re at it! Watch on YouTube  ( 6 min )

We've all seen the job postings. "Looking for a Full-Stack Developer proficient in React, Vue, Angular, Node.js, Python, Django, Ruby on Rails, PostgreSQL, MongoDB, Redis, Docker, Kubernetes, AWS, Azure, GCP, CI/CD, microservices architecture, and oh—can you also design in Figma? Must have 10 years of experience with technologies invented 3 years ago." Let me be blunt: true mastery across the entire modern technology stack is a myth. And it's time we stopped pretending otherwise. The emperor has no stack, and we're all too polite to mention it. Twenty years ago, being a "full-stack" developer meant knowing HTML, CSS, JavaScript, PHP, and MySQL. You could reasonably master this stack in a few years. The tech stack was a humble sandwich. Life was simple. Developers were happy. Nobody had hea…  ( 11 min )

If you're running workloads in Kubernetes, you’re probably already using Ingress-Nginx to manage external access to your services. But as your apps grow, so does the need to protect them from real-world threats like SQL injection, XSS, and RCE attacks. That’s where SafeLine Community Edition comes in — a free, high-performance Web Application Firewall (WAF) you can easily integrate with Ingress-Nginx to add an extra layer of security. In this guide, we’ll walk through how to connect SafeLine with Ingress-Nginx, using either Helm or a custom image build. Before you begin, make sure: You’re running SafeLine version ≥ 5.6.0 You have access to a Kubernetes cluster You have kubectl and Helm installed Step 1: Prepare SafeLine Configuration We’ll use a ConfigMap to define the Sa…  ( 7 min )

Back in the day, we used XMLHttpRequest to call APIs. Fetch API instead — it gives us a JavaScript Interface to handle HTTP request more cleanly. Let's take a look at how to use it. Here's the basic flow: Specify the URL you want to call. The first then gets a promise — you use response.json() to parse the response as JSON. The second then handles the parsed JSON data. If the fetch runs into an error that's not a 4xx or 5xx response, the catch block will handle it. fetch("http://example.com/movies.json") .then(response => { return response.json(); }) .then(json => { console.log(json); }) .catch(error => { console.error(error); }); If the server responds with JSON, you'll need to call response.json() to parse and return it as JSON. arrayBu…  ( 8 min )

wireframe-ui: A set of wireframe components you can copy and paste into your React/Next.js projects. Key features: ✂️ Copy-paste components via shadcn CLI 🎨 Wireframe helpers for placeholder content ⚡ Customize with props and Tailwind classes ♿ Radix UI primitives for accessibility 📦 No package dependencies to manage 🔧 Full control over component code Components install individually so you only add what you need. The wireframe aesthetic keeps you focused on structure during prototyping, then you can refine the styling for production. 👉 Blog Post 👉 GitHub Repo 👉 Live Demo  ( 6 min )

While grinding through the monumental JuggleBee upgrade, one of the recurring debates was: what do we modernize, and what do we leave the heck alone? Plenty got a shiny new coat of paint (see my earlier posts for all the juicy details), but one area I deliberately left untouched was the frontend JavaScript. These days, jQuery is seen as a relic of a bygone era — a noble steed well past its sell-by date. Hotwire now ships as the Rails 8 default, and heavyweight contenders like React and Vue have taken over the frontend spotlight. So why didn’t I replace it with Hotwire or Stimulus when doing the big Rails 8 overhaul? Because honestly... it still slaps. Sure, jQuery has fallen out of favour, and yes, I could’ve followed the modern path. But here’s the reality: It still works. Flawlessly. The…  ( 9 min )

Why Most Prompts Don’t Work (And How I Fix Them in 5 Steps) Jaideep Parashar ・ Nov 7 #ai #promptengineering #discuss #productivity  ( 7 min )

In today’s fast-paced digital world, cybersecurity isn’t just an enterprise concern — it’s something every developer and business owner needs to think about. From hobby projects to large-scale apps, web security is no longer optional. That’s where Web Application Firewalls (WAFs) come in — and among them, SafeLine is making waves with its blend of power, performance, and simplicity. SafeLine, developed by Chaitin Tech, is a high-performance, self-hosted Web Application Firewall (WAF) designed to defend against real-world attacks in real time. Unlike traditional WAFs that just block traffic, SafeLine goes further — offering detailed reports, live monitoring, and deep analysis so you can understand your attack surface and strengthen your defenses before incidents happen. SafeLine blocks…  ( 7 min )

Most people think prompting is about “typing better sentences into ChatGPT.” That mindset is exactly why their prompts fail. The truth is uncomfortable, but it needs to be said: Most people don’t get bad AI outputs because AI is limited; they get bad outputs because their thinking is limited. Prompting isn’t a trick. Once you understand this, AI stops feeling like a gamble and starts becoming a precision tool. Let me show you why most prompts fail, and the 5-step method I use to fix them. The Real Reason Prompts Don’t Work Weak prompts have one or more of these problems: Vague Input: “Write an article on AI.” No Context: AI doesn’t know who you are, who it’s for, or why it matters. Zero Constraints: Without boundaries, AI produces generic filler. No Expected Outcome: If you don’t define “g…  ( 9 min )

Excel worksheets are powerful tools for data management, but when it comes to printing or generating reports, Excel Page Breaks can quickly become a source of frustration. Unwanted page breaks can disrupt layouts, split critical data across pages, and ultimately lead to unprofessional-looking documents. For developers and data analysts working with .NET, manually adjusting these breaks is inefficient and prone to errors, especially when dealing with dynamic or large datasets. This article dives into a practical and automated solution: using Spire.XLS for .NET to programmatically remove page breaks in C#. This approach offers precise control and streamlines your workflow, ensuring your Excel outputs are always perfectly formatted. Page breaks in Excel serve a crucial function: they define w…  ( 9 min )

How to Transcribe Long Audio Files or Lectures Without Time Limits: The Complete Guide for Students and Researchers NeverCap ・ Nov 7 #ai #programming #productivity #webdev  ( 6 min )

Docker is an open-source application container engine built with Go and follows the Apache 2.0 protocol. It enables developers to package their applications and dependencies into lightweight, portable containers. These containers can be deployed on any popular Linux machine, offering a form of lightweight virtualization. Each container operates in complete isolation (similar to iPhone apps), and most importantly, the performance overhead is minimal. Here’s how to install Docker on CentOS: curl -fsSL https://get.docker.com | bash -s docker --mirror Aliyun sudo yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo sudo yum install -y yum-utils device-mapper-persistent-data lvm2 yum remove docker docker-client docker-common docker-latest docker-en…  ( 8 min )

Read the original article：HarmonyOS Development Guide: Implementing User Personalized Settings Storage with Preferences Preface What is Preferences Core Features Applicable Scenarios Case Demonstration Feature Flow Effect Preview Code Implementation Step 1: Project Initialization 1.1 Importing Required Modules 1.2 Defining Type APIs 1.3 Implementing Initialization Function 1.4 Lifecycle Integration Step 2: Loading Main Page Styles 2.1 Importing Dependency Modules 2.2 Implementing Style Loading Logic Step 3: Implementing Theme Settings Page 3.1 Full Page Code 3.2 Core Feature Analysis Key Takeaways Summary Core Points Practical Value Best Practice Recommendations Hello everyone, I am Ruocheng. Welcome to the HarmonyOS Practical Development Series. This series aims to provide develop…  ( 11 min )

SafeLine version 7.x introduces a config auto sync feature, allowing you to set up master and slave nodes. This feature automatically synchronizes the master node's configuration to slave nodes every minute. In case the master node fails, users can manually switch traffic, enabling slave nodes to immediately handle business traffic. Verify that the SafeLine versions on both master and slave nodes are identical (including minor version numbers) Ensure that the SafeLine licenses on both master and slave nodes are consistent (both professional version) Verify network communication between master and slave nodes is operational Setting Up the Master Node Designate one device as the master node View the commands that need to be executed on the slave node. Save these commands as you will need to execute them on the slave node machine Setting Up the Slave Node Designate a device as the slave node Execute the binding command obtained from the master node on the slave node — you must get this command from the master node console as described above Check the result after execution. The image below shows successful execution Note that the slave node cannot modify configurations (operations are disabled by default). Test configuration synchronization by making changes on the master node and checking whether they are successfully synchronized to the slave node. Note: Configuration synchronization does not include logs and statistical information. Click the unbind button on the right to disconnect configuration synchronization. There is no limit to the number of slave devices. GitHub Repository: https://ly.safepoint.cloud/rZGPJRF https://ly.safepoint.cloud/eGtfrcF https://ly.safepoint.cloud/DQywpL7  ( 6 min )

Qartographer: Automating the Hardware Design Bottleneck for Scalable Quantum Chips Hello Dev.To community! This is Adyoth Sural, a quantum computing enthusiast and researcher hoping to garner more attention to my passion project Qartographer(Phonetic: kar-TOG-ruh-fer, IPA: /kärˈtäɡrəfər/). Why? Because community is everything—especially when tackling hardware challenges at the intersection of physics and software! Building a functional, large-scale quantum computer is a massive challenge. While the qubits themselves get all the attention, the real bottleneck is the physical design—specifically the ancillary control layout. This layout is the dense, intricate network of drive and readout wires needed to operate every qubit. As we scale from a handful of qubits to thousands, manual routing…  ( 7 min )

The Challenge When I joined my first hackathon with Hedera, I had no idea what I was getting into. Grouped with talented individuals, we faced the ultimate challenge: solve a real problem, benefit the community, and leverage Hedera’s technology—all while learning entirely new technologies from scratch. The Problem We Tackled In Nigeria, 10.3% of the population owns or uses cryptocurrency, but most don’t know how to use it for everyday purchases like event tickets. We asked ourselves: How do we build a platform that serves both Web3 natives and complete beginners? Enter Eventra - a fraud-proof, fast, and fair event ticketing platform built on Hedera Hashgraph. What is Eventra? • Prevents ticket fraud - Every ticket is an NFT, impossible to duplicate • Enables dual payments - Users can pay …  ( 8 min )

Beyond the Limits: Super-Resolution Ultrasound with AI Imagine needing crystal-clear vision, but your glasses only allow a blurry view. Traditional ultrasound faces a similar challenge: low-cost sensors often capture limited frequency ranges, resulting in fuzzy images lacking crucial detail. What if we could use AI to digitally enhance these blurry images, revealing hidden structures and improving diagnostic accuracy? The core idea is to train a deep learning model, specifically an autoencoder leveraging transformer architectures, to learn the relationship between low-resolution and high-resolution ultrasound data. The model acts like a sophisticated "translator," taking in the limited data and reconstructing a far richer image. It's akin to teaching an AI to "see" the missing frequenci…  ( 7 min )

Virtual Lessons: A Modern Way to Learn With Freedom, Confidence, and Connection When I first started exploring the idea of virtual lessons, I’ll be honest—I didn’t think it would compare to learning in person. I imagined screens creating distance, technology causing confusion, and lessons feeling disconnected. But as soon as I actually began taking (and later teaching) virtual lessons, my entire perspective changed. Virtual music lessons aren’t just a replacement for traditional learning—they’re their own powerful experience. They are flexible, efficient, comfortable, and deeply personal. In a world where time moves fast and schedules are full, virtual learning gives us something priceless: the chance to grow without stopping our lives to do it. Whether someone is learning music, academi…  ( 9 min )

Monetizing AI Conversations: How Monetzly is Changing the Game Imagine a world where ads are not interruptions but helpful suggestions that enhance your AI-powered conversation. This is the promise of Monetzly, the first dual-earning platform tailored for developers of AI applications. With the explosion of AI applications, the challenge of monetization has become more pressing than ever. Many developers struggle to find sustainable revenue streams without alienating users through intrusive ads or paywalls. Monetzly addresses this pain point by introducing context-aware commerce, transforming how ads are integrated into AI conversations. Monetzly stands out as the first platform that allows developers to monetize their applications while simultaneously hosting relevant ads. This dual-ea…  ( 7 min )

Step-by-step guide to prepare two Linux hosts, then use Ansible to deploy a highly available Pi-hole pair with keepalived (VRRP) and a Virtual IP, plus config sync and validation - powered by my open-source playbook: ansible-pihole-cluster Go to the official Rocky Linux Download page: pick ARM (aarch64). Scroll to the Raspberry Pi Images section and download the image for your Pi. You can use balenaEtcher (what I use below), or Raspberry Pi Imager—both work. Install/open balenaEtcher. Flash from file → pick the Rocky Linux RPi image. Select target → choose your microSD card. Flash! → wait for completion. Open Raspberry Pi Imager. Click Choose OS → Use custom and select the Rocky Linux RPi image. Choose your microSD card and Next. When asked “Would you like to apply OS customisation settin…  ( 10 min )

What if launching your startup didn't need a developer? That's what I asked myself a few weeks ago — and then I found Blink.new. I've tested dozens of AI builders and no-code tools before. Most of them stop at prototypes. But Blink? It builds production-ready apps — with a backend, database, authentication, and even payments — all from a single prompt. Blink.new is an AI-powered app builder that turns your ideas into full apps in minutes — just by chatting. No setup. No API keys. No frameworks to install. You describe what you want — Blink does the rest: Generates the frontend and backend Sets up database, authentication, and API routes Deploys it live instantly It's like having an entire dev team compressed into one conversation. I wanted to see how far it could go — so I asked Blink …  ( 8 min )

For the past month I’ve been building a small open-source project: I posted the early version on Reddit — and honestly, the feedback changed everything. The Feedback (What People Asked For): “It only catches provider signatures — what about generic JWTs/passwords?” This was gold. So I went back, reworked the scanner, and shipped v1.1. What’s New in v1.1? Generic JWT & Password Detection The scanner now detects: JWTs (header.payload.signature) Generic tokens suspicious KEY=xxx patterns high-entropy secrets accidental passwords in code No more relying only on predefined provider regexes. .secrets-policy.json Support Each repo can now define its own policy: { "ignore_patterns": ["tests/*", ".md"], You can customize: what files to ignore SARIF Support (for GitHub / CI) Now you can run: python -m app.cli --all --sarif results.sarif And upload the report into GitHub’s code scanning interface. Better CLI UX Redacted snippets Baseline support More precise pattern labels Cleaner output Better exit codes for CI/pre-commit Why Local-First Matters Most scanners notify you after pushing to GitHub. the key is public Local-first scanning is the missing piece in most workflows. Try It GitHub repo: https://github.com/AMOSFinds/secrets-scanner Live UI demo (self-hosted version): https://secrets-scanner-jlw2.onrender.com I’d love feedback, especially from DevSecOps folks who care about pre-commit workflows and CI automation.  ( 6 min )

How AI Learned to Sketch Math Like a Human Ever wondered why a computer can chat but still fumbles when asked to solve a geometry puzzle? Researchers have created a new system called MathCanvas that teaches AI to draw and edit diagrams just like a student with a pencil and paper. This breakthrough could change how we learn, teach, and even design software that talks and draws at the same time. Imagine a future where every math question comes with a perfect diagram, right at your fingertips. Read article comprehensive review in Paperium.net: MathCanvas: Intrinsic Visual Chain-of-Thought for Multimodal MathematicalReasoning 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 19 min )

the basic explaination of AWS Amplify is : AWS Amplify is a tool and service platform from Amazon Web Services (AWS) that helps developers build, deploy, and manage web and mobile applications easily and quickly. It simplifies the development process by providing ready-to-use backend services (like user authentication, databases, APIs, and storage) and frontend libraries that connect your app to those services. Essentially, it allows you to create full-stack applications without managing traditional server infrastructure. Here is a simple overview of how AWS Amplify works for beginners: You start by setting up an AWS account and installing the Amplify command line tool (CLI) on your computer. Then, you create a new Amplify project in your app folder with commands through CLI. You can add b…  ( 7 min )

The Doobie Brothers rolled into NPR’s Tiny Desk with the same swagger that’s kept them rocking for over 50 years. Kicking off with “Takin’ It to the Streets,” Tom Johnston even joked they were outshining last night’s Jones Beach show. They tore through classics “Black Water” and “Listen to the Music,” and debuted “Angels & Mercy” from their reunited album, Walk This Road. Backing the Hall-of-Famers—Johnston, Michael McDonald, Patrick Simmons and John McFee—was a tight crew of musicians (hello, sax and conga!), while NPR’s Tiny Desk squad captured every intimate moment. It’s proof that even legends still get a thrill from playing in an office. Watch on YouTube  ( 6 min )

As AI-assisted development matures, developers evolve from manual coding to strategic orchestration. The AI Development Maturity Model (AIDMM) defines five levels of evolution, from purely human to fully autonomous AI-driven codebases. Benchmark your AI adoption across projects. Prioritize investment in automation and oversight. Define new metrics like AI contribution ratio and review autonomy. Foster trust through auditable maturity levels. Level Name Typical Use Case ⚙️ 0 Human-Only Development Legacy systems, compliance-heavy code 💬 1 AI-Inspired Development Brainstormings, study, Proof-of-Concept 🤝 2 AI-Collaborative Development Real life projects, personal or enterprise 🤖 3 AI-Delegated Development PR bots, repo agents, async automation ⚡️ 4 Fully Autono…  ( 7 min )

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Low trading volume suggests ‘targeted accumulation’ by whales or institutional players as SUI defies the CD5 index.  ( 30 min )

The bank disclosed a $343 million stake in iShares Bitcoin Trust, signaling continued institutional demand for bitcoin exposure  ( 29 min )

Nearly 60% of weekly trades in December 2024 were flagged as likely wash trading, with coordinated networks of 43,000 wallets detected.  ( 32 min )

Internet Computer advances 7.88% to $7.77 as trading volume soars 261% above average, signaling sustained bullish momentum and trend continuation.  ( 30 min )

Hedera's native token shows range-bound trading with late-session recovery attempt before hitting resistance at key technical levels.  ( 30 min )

Recent price action shows institutional accumulation signals as volume surges 78% above average during resistance test.  ( 31 min )

BNB's ability to stay above its key $930 support may reflect confidence in the network's adoption, but a break above $975 could be needed to reopen the path toward recent highs.  ( 32 min )

Anchorage Digital is opening institutional pathways into Bitcoin-native DeFi, providing a regulated gateway to BOB’s hybrid Bitcoin–Ethereum ecosystem.  ( 30 min )

Solana (SOL) was also among the underperformers, declining 2.4% from Thursday.  ( 27 min )

Dubbed "stream," STRE is the company's latest preferred series as Michael Saylor and team begin raising funds overseas for more bitcoin purchases.  ( 31 min )

The DeFi industry has trained everyone to optimize for headline APY numbers while burying the costs that determine your returns, argues Blueprint Finance CEO Nic Roberts-Huntley  ( 33 min )

Japan's financial regulator, FSA, said the venture will see MUFG, SMBC and Mizuho explore the joint issuance of a stablecoin as an electronic payment instrument.  ( 29 min )

A number of the firm's staff are likely to lose their jobs, according to a person familiar with the matter.  ( 30 min )

Your day-ahead look for Nov. 7, 2025  ( 35 min )

Bitcoin’s slide to $100,600 caps another week of losses due to renewed Fed caution. Ether and most altcoins are struggling, though AI-linked tokens are seeing outsized gains.  ( 33 min )

U.S. bitcoin ETFs record $240 million in inflows as market sentiment faces pressure from the ongoing government shutdown.  ( 30 min )

The company is targeting $3.4 billion in AI Cloud ARR by end of 2026 with expansion to 140,000 GPUs and strengthened financing position.  ( 31 min )

Technical breakout occurred on exceptional volume as decentralized storage tokens demonstrated sector leadership over mixed crypto markets.  ( 30 min )

The Wall Street bank lifted its HOOD price target to $130 and reiterated its neutral rating on the stock.  ( 29 min )

The Wall Street bank said fading crypto momentum could be flagging trouble for equities, though improving liquidity may revive the year-end rally.  ( 30 min )

DeFi lenders are deleveraging but not retreating, with borrowing demand for majors like SOL and BTC staying firm and yields compressing across Maple and JitoSOL.  ( 29 min )

Tesla’s shareholder approval — with over 75% support — follows months of debate over Musk’s expanding influence across Tesla, xAI, SpaceX, and X (formerly Twitter).  ( 30 min )

Daily trading volume has jumped to over $1.8 billion, with liquidity deepening across major venues such as Binance, Hyperliquid, and Bybit.  ( 30 min )

Traders say sentiment remains fragile as stronger U.S. dollar flows and persistent macro uncertainty continue to pressure risk assets.  ( 31 min )

A sharp 3.3% decline pushed ether below a key support level, but institutional whales bought the dip, signaling long-term confidence despite technical breakdowns.  ( 30 min )

Technical indicators suggest bearish control, with traders watching key support levels and potential ETF-driven volatility.  ( 32 min )

The breakdown unfolded alongside a surge in trading volume that reached 137.4 million, representing an 84% spike above the daily average.  ( 32 min )

On-chain metrics shows BTC entering an “extremely bearish” phase, with potential downside to $91K or even $72K if key support fails, though Glassnode sees it as a mid-cycle correction rather than full capitulation.  ( 31 min )

Introduction: Why Bluetooth Still Matters You probably don’t even think about Bluetooth anymore. It’s just there, quietly doing its job every single day. It’s what keeps your earbuds connected, your smartwatch synced, your car infotainment system tal...  ( 27 min )

When you start building with LLMs, it quickly becomes clear that not all models behave the same. One model may excel at creative writing but struggle with technical precision. Another might be thoughtful yet verbose. A third could be fast and efficie...  ( 11 min )

When I started my research on AI systems that could translate Makaton (a sign and symbol language designed to support speech and communication), I wanted to bridge a gap in accessibility for learners with speech or language difficulties. Over time, t...  ( 19 min )

Abbey Perini taught herself programming at age 27 while working as an admin at an engineering recruitment agency. She has worked extensively with large legacy codebases and taught best practices to developers internationally. We talk about: How to h...  ( 4 min )

As a developer who aspires to be a founder, building your first startup can be filled with excitement and ideas. The worst thing that could happen to you is jumping straight into the coding part. I was in this situation and the last thing on my mind ...  ( 9 min )

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. The first new subsea habitat in 40 years is about to launch Vanguard feels and smells like a new RV. It has long, gray banquettes that convert into bunks, a microwave cleverly hidden…  ( 21 min )

Vanguard feels and smells like a new RV. It has long, gray banquettes that convert into bunks, a microwave cleverly hidden under a counter, a functional steel sink with a French press and crockery above. A weird little toilet hides behind a curtain. But some clues hint that you can’t just fire up Vanguard’s engine…  ( 26 min )

This week, we heard that Tom Brady had his dog cloned. The former quarterback revealed that his Junie is actually a clone of Lua, a pit bull mix that died in 2023. Brady’s announcement follows those of celebrities like Paris Hilton and Barbra Streisand, who also famously cloned their pet dogs. But some believe there…  ( 22 min )

Communications Minister Fahmi Fadzil has called on Meta to provide a full explanation following a recent report by Reuters. He described it as “very worrying” and “explosive,” saying it paints a troubling picture of Meta profiting from unlawful content that breaches Malaysian law. The minister stressed that the government will open an investigation and summon […] The post Fahmi: Meta Must Explain Report On Alleged 10% Earnings Tied To Scam, Gambling Ads appeared first on Lowyat.NET.  ( 35 min )

The US has reportedly moved to block NVIDIA from selling its scaled-down AI chip to China. According to reports from Reuters and The Information, the White House has informed federal agencies not to approve export licences for the component, effectively halting its sale to Chinese firms. The chip in question, known as the B30A, targets […] The post US Reportedly Blocks NVIDIA B30A AI Chip Sales To China appeared first on Lowyat.NET.  ( 34 min )

nubia has officially launched its newest smartphone model, the nubia V80 Design, for the Malaysian market. Ripping the band-aid off, the design is somewhat reminiscent of a particular premium smartphone, which isn’t surprising considering the recently released nubia Air. At least this phone has some proper AI features. Starting with the display, the nubia V80 […] The post nubia V80 Design Launches In Malaysia; Priced At RM569 appeared first on Lowyat.NET.  ( 34 min )

Last year, we saw the announcement of a chip design hub in Puchong, Selangor last year. It was the first of its kind, and now it’s no longer the only one. This is because an integrated circuit (IC) design park has been announced in CoPlace 9, Cyberjaya. Prime Minister Anwar Ibrahim officiated the launch of […] The post Malaysia Now Has A Second Chip Design Park In Cyberjaya appeared first on Lowyat.NET.  ( 34 min )

The realme GT 8 Pro made its official debut in China last month. Currently, the brand is preparing for the device’s global release. According to GSMArena, the launch is slated for 20 November 2025. However, this date is for an event in India, with no indication that the phone will launch elsewhere at the same […] The post realme GT 8 Pro To Launch In India 20 November 2025 appeared first on Lowyat.NET.  ( 35 min )

Elon Musk has announced that the Tesla Roadster is expected to be unveiled on 1 April 2026 (yes, on April Fool’s Day) at the automaker’s 2025 Annual Meeting. “I have some deniability, because I could say I was just kidding,” he added. “But we are actually tentatively aiming for April 1 for what I think […] The post Elon Musk: Tesla Roadster 2 Unveiling To Happen On 1 April 2026 appeared first on Lowyat.NET.  ( 34 min )

Coinciding with the Mate 70 Air, Huawei announced the FreeBuds Pro 5 on Weibo. As its name suggests, these TWS buds will serve as the successor to last year’s FreeBuds Pro 4. Unfortunately, Huawei has not yet revealed the full specifications of the device, perhaps saving it for its full launch later this month in […] The post Upcoming Huawei FreeBuds Pro 5 To Feature NearLink Audio Tech appeared first on Lowyat.NET.  ( 34 min )

Tesla is expanding its presence in Malaysia, as the automaker is making the necessary arrangements for its entry into East Malaysia, particularly in Kuching, Sarawak. This came to light when the company advertised job opportunities for Senior Tesla Sales Advisor positions on both JobStreet and Moka HR. Just to recap, the first Tesla Centre in […] The post Tesla Expands Its Presence To East Malaysia appeared first on Lowyat.NET.  ( 34 min )

We previously saw reports of WhatsApp testing guest chats for people who are not users of the app. In a similar vein, the Meta subsidiary is working on letting users send messages to users of other messaging apps. And it looks like some beta testers in Europe already have access to it. WABetaInfo reports that […] The post WhatsApp Tests Sending Messages To Users On Other Apps appeared first on Lowyat.NET.  ( 34 min )

Last year, Meta internally projected that 10% of its overall annual revenue — which was estimated to be US$16 billion (~RM66 billion) — came from running fraudulent ads, according to a report from Reuters. Not only that, but the publication further claims that Meta “failed to identify and stop an avalanche of ads” and allowed […] The post Report Claims Meta Made US$16 Billion From Scam Ads appeared first on Lowyat.NET.  ( 35 min )

The Nissan Serena C28 e-Power hybrid has been spotted on Malaysian roads, hinting at a possible local debut in the near future. The sighting was shared by Facebook user Weng Ng on the paultan.org Automotive/Car Discussion Group. According to paultan.org, this isn’t the first time the Serena has been seen in Malaysia, as the MPV […] The post Nissan Serena C28 e-Power Spotted In Malaysia, Hinting At Possible Local Debut appeared first on Lowyat.NET.  ( 36 min )

Following the official launch of the Phone (3a) Lite, Nothing has announced that the handset will be available in Malaysia soon. The company will be opening pre-orders for its entry-level device on 22 November 2025. To recap, the Phone (3a) Lite is equipped with a 6.77-inch AMOLED display. This panel has a 1,084 x 2,392 […] The post Nothing Phone (3a) Lite Pre-Orders Start 22 November 2025; Priced At RM1,199 appeared first on Lowyat.NET.  ( 35 min )

As with the release of any new hardware for a new console generation, the previous generation gets slowly left behind. And that sounds like what Nintendo has in mind for the first generation Switch, as the company focuses its business and development focus in the new console handheld hybrid. In its most recent financial results […] The post Nintendo: Switch 2 Is Now The Primary Development Focus appeared first on Lowyat.NET.  ( 33 min )

Not long after introducing its latest smartphone gimbal in Malaysia, DJI has also launched the Neo 2 for the local market. The new model succeeds last year’s compact aerial drone and, naturally, comes with several notable upgrades. To recap its global launch, the DJI Neo 2 retains the compact form factor but is slightly heavier […] The post DJI Neo 2 Lands In Malaysia; Starts From RM899 appeared first on Lowyat.NET.  ( 34 min )

Tesla CEO Elon Musk has revealed that the company may need to build its own massive semiconductor manufacturing plant to meet growing demand for artificial intelligence (AI) chips. Speaking during the automaker’s annual shareholder meeting, Musk said Tesla is designing its fifth-generation AI chip, known as the AI5, which will power its autonomous driving ambitions. […] The post Elon Musk Says Tesla May Build “Gigantic Chip Fab”; Teases Possible Intel Collaboration appeared first on Lowyat.NET.  ( 34 min )

It looks like Grand Theft Auto fans will have to wait a little longer before they can get their hands on the next instalment. Rockstar Games has announced that it is delaying the launch of Grand Theft Auto VI (GTA VI) again. The new release date is 19 November 2026, roughly a year from now. […] The post Rockstar Games Delays Grand Theft Auto VI Launch To 19 November 2026 appeared first on Lowyat.NET.  ( 34 min )

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AWS just released a new service in Builder Center, AWS Capabilities by Region. I believe this will be a service that many might miss, but for those who know it exists, it will be integral when deciding where to place workloads when planning for migrations, disaster recovery regions, and expansions. So what does the service do? It lets you compare what services and features exist in different regions. And this will make planning much easier and help avoid unnecessary work in regions that won't support your workload. For example, it is not uncommon when implementing a disaster recovery (DR) region that you, in the middle of setting it up, run into issues where a service/feature available in the main region doesn't exist in the DR region, and you need to pivot to another region. And by using this service in the planning stage, we can avoid issues like that. The main feature of the service is the Service and features, where you can compare different regions and see what services and features they offer. To use it, you select what regions you want to check and either select all services or specific ones. You will see a comparison of the availability of the service and its features between the regions. One other great feature is that you will also be able to see when a service/feature is planned to be deployed to the region. When I have used it, I have added all the services I am using, then selected the region I am currently in, and then selected the regions I am planning to migrate to. I quickly get an overview of which services and features will and will not work. Another feature of the service is to see what API operations are available in each region and compare the regions. You can also view and compare available CloudFormation resources in the regions. This is a great new service that I will use a lot when planning where to place workloads. It will make it easy to get an overview of where the resources you need are available.  ( 7 min )

What a contradictory title, please let me explain. This article is a response to Owain William's thought-provoking blogpost, Has the Umbraco Community lost its Spark? While I understand where Owain is coming from and I too feel the change, I'd like to set up a defense: It's not Umbraco, it's not you, it's not me. So what has changed? We're all grinding harder just to tread water, trying our best to cling to the standard of living we once took for granted. Less time for Discord banter, fewer swag selfies on Umbraco Tees Day. Sound familiar? While I agree with Owain, I just can't stand this characterization assassination of the Umbraco community. This despair (dramatic?) is all over the place. I have seen video after video show up on my YouTube feed lamenting the zombification and decline of…  ( 9 min )

Você já pensou em construir um software completo, performático e realmente útil, gastando praticamente nada? Neste artigo, eu mostro como desenvolvi um micro SaaS real do zero — chamado Falar em Inglês — que ajuda pessoas a melhorar a fala em inglês com feedback em tempo real. Tudo foi feito em duas semanas, com R$ 40,00 de custo total (sim, só o domínio). Sou desenvolvedor há cerca de seis anos, e desde o início sempre quis entender como criar uma aplicação completa — da ideia até o deploy em produção. Estou documentando esse processo em vídeo, mostrando como criar micro SaaS com custos quase nulos, mas com qualidade e estrutura profissional. Este projeto é o primeiro dessa série, e todo o passo a passo está disponível gratuitamente no meu canal do YouTube. A ideia era simples: um app par…  ( 8 min )

Introduction Kubernetes has revolutionized how we deploy and manage containerized applications at scale. Originally developed by Google and now maintained by the Cloud Native Computing Foundation (CNCF), Kubernetes has become the de facto standard for container orchestration across industries. Whether you're a startup looking to modernize your infrastructure or an enterprise managing thousands of microservices, understanding Kubernetes is essential in today's cloud-native landscape. In this comprehensive guide, we'll explore the fundamentals and get you started on your Kubernetes journey. Kubernetes (often abbreviated as K8s) is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. Think of it as an operating…  ( 10 min )

The Pump.fun ecosystem has matured significantly beyond pure speculation as we progress through 2025. The distinction between projects that exist merely as tokens and those that function as actual businesses becomes increasingly critical for long-term survival. The top tokens, from GeorgePlaysClashRoyale's forty-five million dollar entertainment operation to Token Metrics Live's research-backed platform integration launched in November 2024, represent the evolution from launch-and-pray strategies to build-and-sustain approaches. Success now requires thinking like a business operator rather than simply a token launcher. The Fundamental Shift in Business Models This shift matters tremendously when examining successful projects. GeorgePlaysClashRoyale, sitting at a forty-five million dollar m…  ( 12 min )

What a contradictory title, please let me explain. This article is a response to Owain William's thought-provoking blogpost, Has the Umbraco Community lost its Spark?. While I understand where Owain is coming from and I too feel the change, I'd like to set up a defense: It's not Umbraco, it's not you, it's not me. So what has changed? We're all grinding harder just to tread water, trying our best to cling to the standard of living we once took for granted. Less time for Discord banter, fewer swag selfies on Umbraco Tees Day. Sound familiar? While I agree with Owain, I just can't stand this characterization assassination of the Umbraco community. This despair (dramatic?) is all over the place. I have seen video after video show up on my YouTube feed lamenting the zombification and decline o…  ( 9 min )

With help of AI, you can draft a solid research proposal in just a couple of hours instead of days. Here's how: Let's say, we need to write a research proposal on NLP (Natural Language Processing), classifications of social media posts. Step 1: Come up with some research ideas Notes: Browse more sources like ACM NLP conference papers, Google Scholar, ScienceDirect, etc if needed. Open all the papers on new tabs in Comet. Now I have 40 papers to read through, not manually, but with AI assistance! Talk to "Comet" with a prompt: Research all open tabs and give me 10 research questions about classifications of social media posts. Cite the sources. Step 2: Narrow down to 3 research ideas Suggest me a research proposal title and abstract based on the following 3 research questions: [Refined Research Question 1] [Refined Research Question 2] [Refined Research Question 3] Step 3: Prepare a working directory research-proposal/ abstract field included Write the research proposal Help me write a research proposal. Save your response to main.tex Create a Makefile to compile the LaTeX document with targets: all: compile the document Research questions: [Refined Research Question 1] Background Only cite the papers from the references.bib file, don't make up any citations. Refer to samples/research-proposal1.tex and samples/*.tex for formatting and structure guidance. Step 5: Humanize and finalize Humanize the text. I use stealthwriter or naturalwrite Read through the generated main.tex file and make necessary edits to improve clarity, coherence, and flow.  ( 7 min )

Testing is an important part of building software, but many developers, including me, sometimes skip it. In this post, I want to share how I added tests to my Python project, the tools I used, how I set them up, and what I learned along the way. For my project, I decided to use pytest as my main testing framework and pytest-cov for code coverage because they are widely used, easy to set up, and provide clear feedback on test results and coverage. pytest: pytest is a popular Python testing framework. It’s easy to use, supports simple tests, and has many features like fixtures and parameterized tests. pytest-cov: This plugin works with pytest to show which parts of your code are covered by tests. It helps you find which lines are being missed. I also used pytest-watch (ptw) to automatic…  ( 7 min )

The Meme You Cant Unsee Old security: “Check IDs.” New security: “Check IDs and the bag.” The meme is the message. We don’t just ask who is calling our systems—we open the bag and prove what’s inside. And that bag must contain only policy-approved tooling, cryptographically attested, no surprises, no freebies. Call it EnvSecOps if you want a name. Practically, it’s the painfully obvious next step: No attested, policy-approved bag → no token. The bag = the execution environment: image, toolchain, configs, helper scripts. Policy-approved = explicit allowlist: pinned digests, permitted binaries, known configs. Attested = cryptographically proven: signed statements that the environment only contains those allowed artifacts. If anything unapproved is in the bag? Deny. :latest. No “temporary”…  ( 8 min )

Everything Wrong With Thunderbolts* (The New Avengers) is CinemaSins’ latest deep-dive, pointing out every nitpick in the film over a rapid 20-minute romp—plenty of sins, but maybe a surprisingly fun ride after all. Want more? Hit up cinemasins.com for behind-the-scenes, vote in their sinful poll, support the team on Patreon, and connect with writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel on Twitter and Instagram. Follow @TVSins, @commercialsins and the rest of their socials for all things CinemaSins. Watch on YouTube  ( 6 min )

Caravan of Garbage’s Predator 2 review The hosts dive headfirst into the 1990 sequel’s city-slicker makeover, swapping Schwarzenegger’s jungle romp for Danny Glover patrolling an LA heat-and-crime wave. While it may miss the original’s lush setting and Arnie charm, this outing introduces a faster, deadlier Predator (and a welcome Gary Busey cameo), delivering a fresh, gritty spin that’s a fun ride if you’re up for something different. Bonus content & links Want more? Hit up bigsandwich.co for early videos, podcasts and game-play streams, or check out their extended audio edition, Twitter feeds, YouTube channel, iTunes podcast, Patreon and even some sweet merch to rep your love of Predators. Watch on YouTube  ( 6 min )

Mutually Exclusive Unions in TypeScript (and why ExclusifyUnion rocks) When modelling data, we often want either one shape or another, never both at once. This is the essence of a mutually exclusive union. In TypeScript, that means writing unions where accessing properties becomes ergonomic without defensive checks everywhere. This post shows a neat pattern using ?: never, why it doesn’t scale, and how type-fest’s ExclusifyUnion helper elegantly solves this problem. Mutually exclusive unions help us distinguish the shape of a given object. Take the following example: type Dog = { bark: () => void; }; type Cat = { meow: () => void; }; const vocalize = (animal: Dog | Cat) => { if ("bark" in animal) { animal.bark(); return; } return animal.meow(); }; Once we’ve checked…  ( 9 min )

Stored Procedure A stored procedure is a precompiled collection of SQL statements (and sometimes control logic) stored in the database. It’s like a function that can be called whenever needed. It can accept parameters such as input and output, and is also often used for complex logic, such as loops. CTE (Common Table Expression) A CTE is a temporary named result set you can use within a single query. Think of it as a short-term, readable alias for a subquery. It exists only during query execution. CTE's make complex queries easier to read and maintain. Subquery A subquery is a query nested inside another query; in other words, it is like a query within a query. It can appear within the SELECT, FROM, or WHERE clause, and it executes each time the main query is run.  ( 6 min )

This guide will walk you through setting up an Apache server with PHP support within a Docker container, secured with an SSL certificate for local development purposes. We’ll ensure that the server can be accessed securely via https://localhost using a self-signed SSL certificate. If you’re eager to jump straight into the code, you can locate the complete project on GitHub. Feel free to access it at https://github.com/tshenolo/docker-Secure-Apache. Introduction Prerequisites Step 1: Preparing SSL Certificates Step 2: Creating the Dockerfile Step 3: Configuring Apache for SSL Step 4: Building and Running the Docker Container Step 5: Accessing Your Secure Apache Server Conclusion Deploying your web applications in a development environment that closely mirrors your production setup is crucia…  ( 8 min )

When your Laravel application moves from MVP to a production system handling thousands of jobs per hour, the default database or Redis queue can quickly become a bottleneck. The solution for high availability and elastic scaling is almost always AWS SQS (Simple Queue Service). Here's how to integrate SQS effectively to handle burst traffic and improve your application's reliability. 1. Why SQS Over Redis or Database Queues? Feature Redis/Database AWS SQS Durability Data loss possible if the server crashes. High durability, messages are replicated across multiple availability zones. Elasticity Scaling requires scaling up the host server. Automatically scales to handle millions of messages per second. Visibility Timeout Basic control, sometimes buggy. Robust control, ensuring work…  ( 7 min )

In the fast-paced world of technology, coding has become an essential skill for both personal and professional growth. Whether you are a beginner just starting or an experienced developer looking to sharpen your skills, effective practice is key to improvement. Coding requires consistency, problem-solving abilities, and the willingness to learn. The process of learning coding can seem overwhelming at first, but with the right strategies, anyone can master the art of programming. The key is to engage in consistent, focused practice while staying updated with the latest trends and technologies. In this blog, we’ll explore several effective methods to practice coding, discuss resources that can aid in your learning journey, and provide tips for tracking progress. Whether you want to build web…  ( 9 min )

WebForms Core technology consists of a client-side library called WebFormsJS and a server-side class called WebForms and the connection between the two. In this technology, you only need to add the WebFormsJS library in the head section of HTML and do the development in the WebForms class on the server in a command-oriented way. So the WebFormsJS library only plays a communication role and you do not develop it! The connection between the two is automatic and has been tested in advance and the probability of errors is very low; However, we at Elanat have added the unit testing tool in version 2 of WebForms Core technology. Unit testing is a critical part of modern web development, ensuring that components behave as expected and changes don’t introduce regressions. Before release of WebFor…  ( 9 min )

This is the 2nd of a series of 5 little articles that intend to present a simple idea of time series, and their implementation in Python. The purpose here is to present both a time series problem, and how we can solve it in simple Python code. Only very basic knowledge of Python and time series are needed as most concepts will be explained with care. The 1st article of the series, Leveling with cluster analysis in Python: general concepts presented the basic concepts of this series. This one, the 2nd one, will present basic Python concepts and techniques to be used in the solution. The 3rd one will present a solution implemented in Python. The 4th article will add a sinusoidal decomposition of the data after the filtering of the solution. And the 5th and last one will use all the elements …  ( 9 min )

Muhammad Ali, one of the most celebrated athletes in history, wasn’t just a boxing legend—he was a master of mindset. Among his many powerful quotes, one stands out as a rallying cry for innovators, entrepreneurs, and creators: "Impossible is just a big word thrown around by small men who find it easier to live in the world they’ve been given than to explore the power they have to change it. Impossible is not a fact. It’s an opinion. Impossible is not a declaration. It’s a dare. Impossible is potential. Impossible is temporary. Impossible is nothing." Ali’s words go beyond sports—they hold the key to success for anyone chasing big dreams, especially in the tech world. Whether you're building the next blockbuster mobile game, creating a life-changing app, or revolutionizing an industry, Al…  ( 9 min )

Google has expanded Opal, its no-code AI app builder, to more than 160 countries. Opal lets anyone build AI mini-apps using natural language instead of code, and it is positioned as the fastest way to turn an idea into a working AI tool without APIs, backends or prompt-chaining frameworks. That makes Opal important for developers not because it replaces engineering, but because it changes who can ship AI tools and how fast internal apps will now be created. Most AI products today are either: chat interfaces wrapped around a single model low-code builders connected to external APIs RAG pipelines that still require storage, ingestion and maintenance Opal creates a fourth category: AI apps built entirely through text instructions, no code, no infra, no workflow engine required. This is not “A…  ( 12 min )

I've been through a dry spell or two. The early 90's was a pretty tough time for someone new to the industry. The dot com bust also led to belt tightening in the industry. There has always been an ebb and flow in demand, but those who eat and breath software sailed through those seas. This time it's fundamentally different. Life has been pretty good for software developers over the last 40 years, but life does not owe software developers anything, and perhaps we are nearing the end of the gravy train. Up until 1900 the horse was the primary mode of transportation. In a space of about ten years the car replaced horses in volume. Horses were no longer required. Sure, you can still find them today, in horse racing or on tourist ventures perhaps. But there is no law of nature which says "ther…  ( 8 min )

More than five years ago, I sat in yet another meeting listening to someone say, "You know what we really need? A gold layer for our data lakehouse." Heads nodded around the table. Everyone agreed it was a smart idea. Obviously necessary. Then everyone went back to their desks and did nothing. The idea wasn't revolutionary. It was sitting right there on the surface: visible to anyone who looked at our Bronze-Silver architecture and asked, "How does the business actually use this data?" But here's what I learned: Ideas are everywhere. People who actually build them are rare. That day, I stopped waiting for someone else to make it happen. I proposed the initiative, assembled my team, and we started building. This is the story of how we completed a data lakehouse architecture that nobody mand…  ( 13 min )

Property-Based Testing with Hypothesis: The Data You're Throwing Away Part 3 of the Multi-Agent Development Series Part 1: Can 5 Claude Code Agents Work Independently? Part 2: The Reality of "Autonomous" Multi-Agent Development This post explores coding with Claude Code and exploring what works and what doesn't in this hybrid new coding model. when and how it is most useful for a Human to direct the AI Agent. We added property-based testing with Hypothesis. Agent ran 7000+ random scenarios, found multiple edge cases, Hypothesis shrank them to minimal failing examples, then agent discarded 99% of that data by reducing max_examples without capturing anything. User had to correct the agent 3 times before it understood: "It's like you're a genius and brain dead at the same time." The lesson:…  ( 17 min )

Rethinking My AWS Admin Access: Lessons Learned From Moving to Single-Sign-On Tobiloba Ogundiyan ・ Nov 6 #aws  ( 6 min )

Rethinking My AWS Admin Access: Lessons Learned From Moving to Single-Sign-On Tobiloba Ogundiyan ・ Nov 6 #aws  ( 6 min )

Recently, I began auditing my AWS account and I saw how secure I had made it when deploying applications and managing external access. I even wrote a blog post recently on how people should adopt OpenID Connect to authenticate in CI/CD pipelines and deploy their applications to AWS.Recently, I was deploying a Terraform script locally and I could not authenticate to AWS. I figured out my static keys were expired and I needed to generate another. That was when I realized my real admin access wasn’t secure at all. I was still moving static keys around for admin access, and they were permanent. I checked the IAM portal to see if I could find a solution to eliminate this completely, and I found a much better approach by using a federated identity through IAM Identity Center. I always thought on…  ( 9 min )

You’ve decided to master Python. You’re drawn in by its reputation for clean syntax and its dominance in fields like data science, machine learning, and generative AI. But as you stand at the starting line, you’re hit with a barrage of preliminary questions that feel more complex than the coding itself: Should I install Python locally or use a cloud service? Which IDE—PyCharm, VS Code? What even is a Jupyter Notebook? This initial paralysis of choice is a universal experience. The path from novice to professional isn't just about learning syntax; it's about making strategic decisions about your tools and workflow from day one. Many tutorials rush past this crucial setup phase, leaving developers to stumble through mismatched environments and frustrating configuration errors. This guide is …  ( 14 min )

Simulação Real: Quanto Sua Família Economizaria com Portabilidade de Energia Introdução: O Poder dos Números na Conta de Luz Você já parou para calcular quanto sua família gasta com energia elétrica por ano? De acordo com dados da ANEEL atualizados em Janeiro de 2025, o Estado do Rio de Janeiro apresenta a tarifa convencional média mais cara do Brasil, com valores superiores a R$ 1,40 por kWh. Em contraste, o Rio Grande do Sul possui a tarifa mais barata (R$ 0,41/kWh). Mas aqui está a boa notícia: com 25.966 novas unidades consumidoras em 2024, o mercado livre de energia brasileiro atingiu a marca de 64.497 unidades consumidores, crescimento de 67%, recorde histórico. E esse crescimento não é à toa — por meio de assinatura ou compartilhamento de energia, é possível conseguir d…  ( 12 min )

If you want to configure the Dataverse MCP Server as described in the official Microsoft Learn article, you'll need to write in your mcp.json file an url with the following exact format (without the line breaks, of course): https://make.powerautomate.com/environments/ 59fd5b0e-f1e3-4f86-920d-509f44cb1846/connections ?apiName=shared_commondataserviceforapps &connectionName=263a3d1e-1279-45f6-a593-070f9efaaad3 The tutorial instructs you to create a connection via make.powerautomate.com, and then take the URL from the connection page. If you do it exactly as stated in the official docs, the URL you'll get has this form: https://make.powerautomate.com/environments/ 59fd5b0e-f1e3-4f86-920d-509f44cb1846/connections /shared_commondataserviceforapps /263a3d1e-1279-45f6-a593-070f9efaaad3/details The fact is that URL, put in the mcp.json file, won't work 😡🤬. You need to tweak the url manually in the following way: take the first part of the url, from https:// to connections replace the / after connections with ?apiName= replace the / after shared_commondataserviceforapps with &connectionName= remove the leading /details And you're ready to go. 🙏🏻 Hope this helps you too!  ( 6 min )

!/bin/bash Usage: ./verify_table_checksum.sh mytable.ctl Compares Sybase vs Oracle data fidelity (excluding FILLER/IDENTITY columns, normalizing nulls/spaces) if [ $# -ne 1 ]; then CTL_FILE="$1" TABLE_NAME=$(basename "$CTL_FILE" .ctl | tr '[:lower:]' '[:upper:]') FILLER_COLS=$(grep -iE 'FILLER|IDENTITY' "$CTL_FILE" | awk '{print toupper($1)}' | tr '\n' ' ') ALL_COLS=$(grep -v -iE 'FILLER|OPTIONS|INTO|FIELDS|INFILE|LOAD|REPLACE|TRAILING|^ *$' "$CTL_FILE" COLUMNS_TO_INCLUDE=() SYBASE_USER="sa" ORACLE_USER="oracle_user" TMP_SYB=$(mktemp) { echo "SELECT CHECKSUM_AGG(BINARY_CHECKSUM(" { echo "SET HEADING OFF" syb_sum=$(isql -U "$SYBASE_USER" -P "$SYBASE_PASS" -S "$SYBASE_DB" -b -Q "$(cat "$TMP_SYB")" | tail -n1 | tr -d '[:space:]') timestamp=$(date '+%Y-%m-%d %H:%M:%S') rm -f "$TMP_SYB" "$TMP_ORA"  ( 6 min )

What we learned when 5 "independent" AI agents needed constant human orchestration Part 2 of the Multi-Agent Development Series We set out to prove AI agents could work independently with zero coordination. The zero-conflict architecture worked perfectly (100% auto-merge). But "autonomous" agents? That was the illusion. What actually happened: ✅ Zero merge conflicts (architecture win) ❌ Constant human orchestration required (autonomy myth) ✅ Property tests found a 12x efficiency bug (agent + human win) ❌ But only because human asked the right questions (human essential) The real lesson: The value isn't "autonomous agents." It's well-orchestrated human-AI collaboration. In Part 1, we described an experiment: 5 parallel AI coding agents Each working on independent test improvements Zero-conf…  ( 12 min )

Special education teachers play a vital role in pullout classrooms, where students with diverse learning needs receive individualised or small-group instruction outside the general education setting. This approach allows educators to provide focused attention, specialised interventions, and customised teaching strategies tailored to each student’s learning goals. Read More In a pullout classroom, teachers assess students’ strengths and challenges, design lessons that complement their Individualised Education Programs (IEPs), and use adaptive methods such as multisensory instruction and assistive technology. These sessions help students build confidence and reinforce foundational skills in literacy, maths, and social-emotional development. Collaboration is another key aspect of the pullout model. Special education teachers work closely with general education staff, therapists, and parents to ensure consistent progress across all environments. They also monitor and document student growth, adjusting instructional strategies as needed to maximise success. Ultimately, pullout classrooms create a supportive space where students can learn at their own pace and receive the specialised assistance they need to thrive academically and socially. The role of special education teachers in this setting is not just instructional—it’s transformative, fostering inclusion and empowerment for every learner.  ( 6 min )

Oklou jetted in from Paris with her five-month-old in tow to rework four tracks from her debut album, Choke Enough, for NPR’s Tiny Desk. She and arranger Casey MQ ditched the synths and autotune, leaning into piano, acoustic guitar, a seven-foot marimba and an eight-piece choir. They even cranked up the atmosphere with bubble-wrap fire crackles and makeshift effects to keep the sonic adventure alive. The set—featuring stripped-down versions of “ict,” “blade bird,” a bare-bones “harvest sky” led by recorder, plus the unreleased “what’s good”—turns Oklou’s electronic pop into reflective, acoustic folk. It’s an intimate, DIY twist on her sound that feels both fresh and deeply personal. Watch on YouTube  ( 6 min )

If you've ever run a Django site, you've probably seen the endless stream of bots trying to brute-force your /admin/ page. After watching my logs fill up with failed login attempts, I decided to do something about it. Attackers know Django uses /admin/ by default. They hammer it with credential stuffing, brute force attacks, and automated scanners. While rate limiting helps, it's reactive. I wanted something proactive. I built HoneyGuard, a Django package that creates fake admin login pages (honeypots). Here's how it works: Move your real admin to /secret-admin/ (or whatever), and let HoneyGuard serve a convincing fake at /admin/. Attackers waste their time, and you gather intel. HoneyGuard catches: Too-fast submissions ( 10 minutes = abandoned for…  ( 7 min )

In today’s construction landscape, compliance isn’t just about avoiding fines—it’s a strategic advantage. Contractors working on public works projects face an increasingly complex set of wage, documentation, and reporting obligations. From Davis-Bacon Act requirements to state-level prevailing wage rules, payroll compliance can quickly become a time-consuming and error-prone process if handled manually. Automation is changing that equation, helping construction firms protect their margins, maintain compliance, and gain a competitive edge. Construction payroll involves a unique set of variables: multiple job classifications, varying wage determinations, fringe benefit calculations, and fluctuating crew schedules. When all of this information lives in disconnected systems or spreadsheets, er…  ( 7 min )

Introduction As Vision AI gains popularity, more organizations from government to the private sector are adopting it to solve real-world challenges: tracking assets, counting people, monitoring vehicles, and more. However, one of the biggest challenges we face while building these systems is Scaling (Processing massive volumes of data in real-time while working within constrained computational resources) Before diving in, you should be familiar with: Kafka basics: Topics, partitions, producers, and consumers Python: Threading and async programming concepts Video processing: Basic understanding of frames and inference Docker: Running containerized services Traditional media processing pipelines often rely on synchronous, monolithic architectures that are difficult to scale. Resource Cont…  ( 10 min )

Every week, I review competitors' articles and summarize them in a report. It’s repetitive and not exactly the favorite part of my week. I have been using a few new AI tools, such as Amp, Opencode, and I thought it would be nice to have a tool that could make things easier. So I built "Herctually," an AI research assistant that automates the boring parts. We’ll try to build Hertcually in Go, from model setup to giving it powers like web search, reading, and report writing. But first, let's align on what an agent is. According to Thorsten Bell, an agent is “an LLM with access to tools, giving it the ability to modify something outside the context window“. How I see it is that an agent is a large language model (LLM) that can take actions, not just talk. It can search, write, read, and execu…  ( 14 min )

In “Everything Wrong With Thunderbolts* (The New Avengers) In 20 Minutes Or Less,” CinemaSins racks up all the on-screen sins—plot holes, cringe moments, and shaky logic—while cheekily admitting they actually had a blast with the movie. The video description is basically a treasure trove of links: their main website, sister YouTube channels, a fan poll, Patreon support, and every social handle you can dream of, so you can keep sinning along. Watch on YouTube  ( 6 min )

Predator 2 – Caravan of Garbage Sequel to the smash‐hit Predator, this 1990 follow-up ditches Schwarzenegger and the jungle for Danny Glover amid LA’s sweltering crime wave. You get a tougher new Predator, a dash of Gary Busey and plenty of neon-lit mayhem. It’s a fun twist on the original if you can roll with a different lead and setting—just don’t expect a repeat of the first film, and you’ll be in for a good time. Watch on YouTube  ( 6 min )

When working with LLMs, agent workflows, or RAG pipelines, one question comes up repeatedly: How do we evaluate the model’s output in a consistent and reliable way? Generating text or reasoning chains is easy. Deciding whether the output is good is much harder. To see a practical open-source example of structured evaluation, here’s the project link: https://github.com/future-agi/ai-evaluation Evaluation is not just quality control — it is what makes AI development intentional and measurable. Clear evaluation processes help teams: Compare different prompts and models reliably Detect hallucinations and context mismatches Maintain tone, helpfulness, and clarity Ensure outputs respect safety and policy constraints Scale AI workflows into production environments Without evaluation, output qua…  ( 7 min )

Writing effective, maintainable, and readable tests is a cornerstone of modern software development. One of the most fundamental and widely adopted design patterns that helps achieve this is AAA: Arrange, Act, Assert. This pattern provides a clear, three-part structure for any test, making it easier to write, understand, and debug. While AAA can be applied across all testing types (unit, integration, end-to-end), we will focus on unit tests to keep the explanation clear and simple. The AAA pattern divides every test method into three distinct sections: Arrange: Set up the necessary conditions and inputs for the test. Act: Execute the code under test. Assert: Verify that the execution produced the expected result. Let's dive into each step: The Arrange step is where you set the stage for yo…  ( 8 min )

Date: 2025-11-06 Author: Raymond Mwaura In the previous post, I explored enabling the A20 line to prepare the system for accessing memory beyond the 1 MB boundary. With that foundation in place, I moved on to something I’ve been eagerly anticipating: switching the CPU from real mode to protected mode. This post documents that process, explains what protected mode is, and walks through the implementation details and challenges I encountered while bringing BeaconOS into a 32-bit environment. Protected mode was introduced with the Intel 80286 processor. It comes with several features missing in real mode: 4 GB of addressable memory. Memory segmentation using the Global Descriptor Table (GDT). Virtual memory support through paging. Four privilege levels (0-3). Hardware-enforced isolation be…  ( 10 min )

Do AI Chatbots Really Know When They're Wrong? Ever wondered if a chatbot can tell you when it’s guessing? A new study shows that big AI language models, the same tech behind ChatGPT, don’t actually know when they’re wrong. truth. Read article comprehensive review in Paperium.net: Large Language Models Do NOT Really Know What They Don't Know 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 19 min )

Google's Gemini CLI is transforming the developer experience by bringing the power of AI directly into the terminal. This open-source tool allows for natural language interaction to perform a variety of tasks, from generating and explaining code to managing files and fixing bugs. Now, with the introduction of custom slash commands, Gemini CLI is becoming an even more powerful and personalised tool for developers looking to boost their productivity. At its core, Gemini CLI is an AI-powered assistant that lives in your command line interface. It leverages the capabilities of Google's Gemini models to understand your codebase and help you with complex tasks without needing to switch between different applications. e.g. You can install dependencies via npm or npx and, after a simple authentica…  ( 8 min )

Composer-1 vs SWE-1.5: A detailed Comparison Arindam Majumder ・ Nov 5 #ai #webdev #programming #productivity  ( 5 min )

Everyone knows companies are using AI to scan resumes now. applicants are using AI to write those resumes. So we get this situation: The applicant uses AI to make their resume stronger. The recruiter uses AI to filter resumes faster. HR uses another AI to detect whether the resume was written by AI. And all of this still ends with: “We’ll get back to you.” It’s weird. And kind of funny. Because for applicants, job searching is emotional: Hope Stress Trying to prove that you’re worth something Taking rejection personally For recruiters, it’s logistical: Way too many candidates Not enough time to review everyone Pressure to reduce the stack quickly So both sides start using AI. But then you get the contradiction: “We can use AI to evaluate your resume, but if you used AI to write it, we might penalize you.” Feels… uneven. We’ve reached a point where the hiring pipeline is basically: AI writes → AI evaluates → AI judges authenticity → humans maybe talk later The process still pretends to be human. AI negotiating with AI about humans. I don’t think this is “bad” or “good.” What do you think? Is this just the natural evolution of hiring, or does it feel like something important is being lost?  ( 6 min )

Docker Labs: From Beginner to Advanced on Azure Lab 1: Initial Azure Setup and Docker Installation Step 1: Create Azure VM with Docker # Create resource group az group create --name DockerLabs --location eastus # Create Ubuntu VM with Docker az vm create \ --resource-group DockerLabs \ --name DockerVM \ --image Ubuntu2204 \ --admin-username azureuser \ --generate-ssh-keys \ --size Standard_B2s \ --custom-data cloud-init-docker.txt Create cloud-init-docker.txt: #cloud-config package_upgrade: true packages: - apt-transport-https - ca-certificates - curl - gnupg - lsb-release runcmd: - curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg - echo "deb [arch=amd64 signed-by=/usr/share/keyrings…  ( 11 min )

An incremental journey from Redux modules to intuitive async data management Years ago we adopted Redux to manage the client state, handle the local state, and control data fetching. More recently, we began transitioning to React Query. Redux is primarily designed as a synchronous state manager, while React Query specializes in managing the asynchronous state. Both are agnostic to the underlying fetching library, but Redux requires significant boilerplate to handle async operations, whereas React Query offers built-in patterns that make data fetching, caching, and updating feel more natural. We decided these advantages made React Query a better fit for our codebase. Depending on the size of the application, migrating to React Query can require a significant amount of time. In our case, rat…  ( 11 min )

TLDR: We analyzed 50 vibe-coded projects and found that 86% contained security vulnerabilities, ranging from insufficient input validation to remote code execution and exposure of personal user information. This blog can also be read on our website There are many Ai assistants such as Cursor or Windsurf to this date which help you write code for you. Programmers no longer need the technical expertise to create an MVP of an app. Creating applications or websites without having the knowledge of what you are doing is often referred to as “vibe coding”. In this article, we will have a look at how vibe coding impacts code security, the implications it already has, and how we can prevent such critical bugs from happening? We have analyzed 50 projects’ source code or production API which likely w…  ( 9 min )

N8N Installation And Configuration Setting Up a Self-Hosted n8n Automation Server on Ubuntu This document outlines the end-to-end process of deploying the n8n automation platform on a fresh Ubuntu Server virtual machine using Docker. It also includes optional steps for adding a graphical user interface (GUI) for remote management. Operating System: Ubuntu 24.04 LTS (Server Edition) Part 1: Server and Prerequisite Setup This section covers the initial server preparation, the optional installation of a desktop environment, and the mandatory installation of the Docker Engine. Step 1.1: Virtual Machine (VM) Provisioning An Ubuntu 24.04 LTS Server environment was chosen. This is a command-line-only operating system, which is lightweight and secure, making it ideal for server applications. Step…  ( 9 min )

Accessing AWS in Github Actions Using OIDC Tobiloba Ogundiyan ・ Nov 6 #tobilobaogundiyan #aws #githubactions #cicd  ( 6 min )

In CI/CD pipelines, the normal way to access AWS resources for deployment is to generate long-lived access keys in IAM and store those keys in the repository, but this approach has the following flaws: The keys are long-lived and if they ever leak, an attacker can use them to access your AWS account. The same static keys get reused across many jobs and branches, so it is hard to trace which workflow actually did what. Rotating or expiring those keys requires a manual process, so they usually stay active way longer than they should. OpenID Connect (OIDC), an identity layer on top of OAuth 2.0, solves this by letting GitHub Actions request short-lived, on-demand credentials from AWS using a trusted federation instead of storing static keys. This approach gives the following benefits: …  ( 10 min )

Intro This demo demonstrates protecting an ASP.NET Core API with OAuth2 and JWT tokens. We use Duende IdentityServer as the authorization server. The API validates tokens and allows only authenticated requests. Why this matters: OAuth2 is the standard for securing APIs. Understanding token-based authentication helps you build production-ready applications. This setup shows the complete flow from token request to protected endpoint access. The solution contains two projects: IdentityServer – Issues OAuth2 tokens ApiDemo – Protected API that validates JWT tokens Folder Structure: CSharp-API-OAuth2-Demo/ ├── IdentityServer/ │ ├── Config.cs # Client, scope, and resource definitions │ ├── Users.cs # Test user credentials │ ├── Program.cs # IdentityServer setup…  ( 8 min )

The telecommunications industry has entered a new era of defence: major operators are now working together rather than standing alone. Several leading firms have adopted a “collective defence” model—sharing intelligence, playing cyber-war games and coordinating responses. The move, reported in November 2025, reflects growing pressure from nation-state actors and sophisticated hacker networks, and could mark a structural shift in how telecoms guard their massive infrastructures. Background / Context Historically, telecom operators have largely defended their own networks independently. In contrast, the financial sector has for some time embraced coordinated information-sharing and sector-wide incident response frameworks. Meanwhile, the global IT & telecom cybersecurity market is projected …  ( 8 min )

Introduction To build and develop a web-based system, you sometimes need to be able to interact with a powerful JavaScript library. These libraries can be tools for building web games or tools for creating advanced charts. For example, you might use libraries like Three.js to create 3D environments, Chart.js or D3.js for data visualization, or Phaser for building 2D games. Choosing the right library depends on the project needs, the level of customization you expect, and the functionality you want to provide. At Elanat, in version 2 of WebForms Core technology, we have added powerful features for interacting with external JavaScript libraries. Here are a few categories of JavaScript libraries that are great for different uses in web-based projects. Data visualization and charts: D3.js –…  ( 11 min )

The Complete Guide to Production-Grade Azure Landing Zones Note; If you find any mistakes please do not burn me kindly let me know. Intro An Azure Landing Zone is the foundational output of a multi-subscription Azure environment that considers scale, security, governance, networking, and identity. It provides a well-defined, repeatable starting point for all your cloud workloads, ensuring they are deployed into a secure, compliant, and operationally excellent environment from day one. A landing zone solves critical enterprise challenges like inconsistent security postures, sprawling and ungoverned environments, lack of visibility, and ballooning costs by establishing a baseline architecture and "guardrails" through policy. Architect and Design: Confidently design an enterprise-grade Azur…  ( 17 min )

Azure DevOps, you can connect to and collaborate across its core services. You can use various features to link and track your devops tasks across Azure Boards, Azure Repos, Azure Pipelines, and Azure Test Plans. This article shows you options for how to use the cross-service integration of Azure DevOps to improve your workflow and productivity. Feature Description Close work items with mentions in commit comments. Remember user choices for completing work items with pull requests. Link work items from commit comments. You can also automate linking from commits or pull requests in repo settings. Commit mention linking: Turn on to link commits to work items with #WorkItemID in commit messages. Turn off when you push a repo from a different account or service. Azure DevOps automatically turn…  ( 7 min )

The financial sector requires large language model (LLM) outputs to be grounded in timely, accurate, and authoritative data due to the high-stakes nature of market movements. This article examines the critical role of the emerging Model Context Protocol (MCP) in meeting these enterprise requirements, specifically within firms like Bloomberg. We explore how MCP acts as the necessary API for the age of agentic AI, facilitating system interoperability, connecting disparate data silos, and enabling the secure, governed deployment of context-aware LLM applications. Key architectural challenges, including authentication, rate limiting, and guardrails, are discussed in the context of creating a plug-and-play, mission-critical infrastructure for financial professionals. The rapid evolution of Larg…  ( 11 min )

Kubernetes solves real problems, but not everyone has those problems. Too often, teams adopt it for prestige, not necessity, and end up drowning in YAML debt before shipping real value. It starts innocently enough. You're building a new application. Someone on the team mentions Kubernetes: "It's industry standard. Scales infinitely. Netflix uses it." Before you know it, you're knee-deep in: Service meshes Ingress controllers Custom resource definitions Helm charts Operators (I have a special.... bad feeling about those!) StatefulSets DaemonSets ConfigMaps Secrets management Network policies RBAC policies Pod security policies Horizontal pod autoscalers Vertical pod autoscalers Cluster autoscalers And you still haven't shipped your product. The complexity trap is thinking that because Kuber…  ( 13 min )

Introduction: When Data Starts Talking Back But something fundamental is shifting. In 2025, databases are no longer silent systems waiting for commands — they’re becoming intelligent partners that understand human intent. You can now type: “Show me all customers who churned last quarter and didn’t return in 90 days.” Welcome to the era where queries write themselves. 🧠 The Generative Shift in Data Workflows Generative AI — through models like OpenAI’s GPT-4, Google Gemini, and Anthropic Claude — has now blurred that boundary. Today, natural language interfaces (NLQ) are being embedded into: BI tools like Power BI Copilot, Tableau Pulse, Looker AI BigQuery Duet AI ⚙️ How “Text-to-SQL” Actually Works Text-to-SQL models — a subset of LLMs trained to map human language to database syntax. Her…  ( 8 min )

Check out this Pen I made!  ( 5 min )

🚀 Transforming Engineering Culture in a 300-Person Company A few months ago, I worked with a small company (~300 people) that had reached a breaking point in its tech journey. Here’s what I found when I joined: No defined SDLC — ideas went straight to production. Every client had a custom version of the product. No documentation, no tests, no CI/CD. Legacy code everywhere. Engineers had been there 8–10 years, never exposed to new tech. The result? The issue wasn’t people it was the way of working. culture and process without breaking the company’s rhythm. So we used a blend of top-down clarity and bottom-up ownership. Defined a simple product goal: move from per-client customizations to a single configurable platform. Introduced lightweight engineering standards (code reviews, testing,…  ( 7 min )

This article was originally published on Rails Designer A few weeks ago I helped someone start their first SaaS. They had found a really cool, small problem for a specific niche that made for a great small business. They already are serving the first handful of customers. But I digress… The main view of the app was a list of records. And as the app would be perfect to have in your "pinned tabs", a counter with new records was a good feature to add. This article goes over how easily this can be done with a (custom) Turbo Stream in Rails. I have written about custom turbo streams before, but did not touch upon how to cleanly write them yourself. It will look something like this: Notice how the the title updates with the message count? As always the code can be found on GitHub. To demonstrat…  ( 9 min )

In any Learning Management System (LMS), file uploads are at the heart of collaboration. Students submit assignments, teachers share study materials, and administrators manage endless records — all through files. But for developers, creating a smooth file-handling experience isn’t always simple. Between desktop integrations, clunky file dialogs, and inconsistent upload workflows, things can get messy fast. That’s where Python file handling comes in. With the right approach and tools, developers can turn complex file operations into simple, secure, and user-friendly interactions. And when combined with Filestack’s API, building a reliable Python File Picker for LMS apps becomes easier than ever. Key takeaways Python file handling makes it easy to manage uploads, reads, and writes in LMS…  ( 11 min )

# PHP in 2025: Evolving Rapidly PHP continues to evolve rapidly. As of 2025, the latest stable release is PHP 8.4 (released Nov 21, 2024), with PHP 8.5 slated for November 2025. Each annual PHP release adds new language features and optimizations, while also deprecating outdated behaviors. With each new PHP version, be sure to review the official release notes to prepare for required code updates and deprecations. Key FeaturesStronger TypingModern SyntaxPerformance OptimizationsNew Deprecations Release TimelinePHP 8.4: Nov 2024PHP 8.5: Nov 2025 Moving to PHP 8.4 ensures access to the newest features and best performance, but might require updates across your codebase. PHPOOP class User { public function __construct(private string $first, private string $last) {} public string $fu…  ( 8 min )

A Complete Guide to Market Basket Analysis Dipti Moryani ・ Nov 6 #ai #programming #webdev #productivity  ( 6 min )

A Thesis-Based Blog by Wan Mohd Azizi ## Chapter 1: Introduction The evolution of artificial intelligence (AI) has reached a point where it is no longer a peripheral tool, but a central driver of productivity, governance, and innovation. Yet, for all its progress, there remains a persistent gap between individual users, organizations, and the rapidly growing AI ecosystem. The DeckerGUI project was conceived to bridge that divide. DeckerGUI is not merely another application — it represents an ecosystem shift. It reimagines how humans and AI systems interact in daily workflows by combining cloud, local, and enterprise modes into a unified interface. This hybrid configuration allows individuals and enterprises to operate seamlessly whether they are online, offline, or within secured interna…  ( 11 min )

Sean Fennessey and Amanda Dobbins crown David Lynch’s Mulholland Drive as the No. 6 film of the 21st century so far, celebrating Naomi Watts’s stunning breakthrough and the movie’s endless mystery. They dive into fan theories and mind-bending interpretations, all while applauding Lynch’s genius blend of Americana oddity, European surrealism, classic Hollywood glamour and eerie outsider art. Watch on YouTube  ( 6 min )

Summary Cinemasins just dropped “Everything Wrong With Thunderbolts* (The New Avengers) In 20 Minutes Or Less,” a classic deep-dive of movie nitpicks peppered with their trademark humor. The page is sprinkled with links to their various YouTube channels (TVSins, CommercialSins, the CinemaSins Podcast Network), a community poll, Patreon support, and a handy Linktree for all things Cinemasins. You’ll also find credits for the writing team (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel) plus invites to join their Discord, Reddit, and social feeds (Twitter, Instagram, TikTok). Whether you love ’em or love to hate ’em, they’ve got every corner of the internet covered. Watch on YouTube  ( 6 min )

Securing routes is critical in modern web applications. In this tutorial, we’ll learn how to use auth-verify, a powerful Node.js authentication library, to protect Express routes using JWT middleware. npm install express ejs body-parser auth-verify path Folder structure: web-app/ ├─ views/ │ ├─ login.ejs │ ├─ register.ejs │ └─ dashboard.ejs ├─ public/ │ └─ style.css ├─ index.js So let's make our index.js: const express = require("express"); const bodyParser = require("body-parser"); const AuthVerify = require("auth-verify"); const path = require("path"); const app = express(); const PORT = 3000; // Serve CSS app.use(express.static(path.join(__dirname, "public"))); // Middlewares app.use(bodyParser.urlencoded({ extended: true })); app.set("view engine", "ejs"); // Initialize AuthV…  ( 9 min )

Ever wondered how the best hackers crack CTF challenges — step by step, move by move? Welcome to the AstralGuard CTF Writeups Archive — a growing collection of community-shared debriefs that turn complex missions into clear, teachable moments. 💡 What Exactly Are Writeups? In the cybersecurity world, writeups are detailed breakdowns of Capture-the-Flag (CTF) challenges. How the solver approached the problem, Which tools and payloads they used, The logic behind every move that led to the flag. In short — writeups are the hacker’s equivalent of a battle diary. 🎯 Why Writeups Matter (Especially for Serious Learners) For anyone studying cybersecurity, writeups are pure gold. They help you: ✅ Understand how vulnerabilities are discovered and exploited. Every great hacker started by reading someone else’s thought process — then pushing it further. 🚀 Publish Your Own Writeup — For Free Have you recently solved a CTF challenge? 📝 You can publish your writeup for free on the AstralGuard CTF platform. 👉 Explore, learn, or contribute now: https://ctf.astralguard.online/writeups  ( 6 min )

Gemini Deep Research is Google’s most significant step toward AI-native productivity inside Google Workspace. The model can now read Gmail conversations, analyse Google Drive files and combine context across Docs, Sheets, Chat and shared folders without uploads, embeddings or third-party retrieval layers. That single shift turns Gemini from a chatbot into a real workflow engine for developers building gmail ai automations, google drive ai workflows and full-stack google workspace ai systems. Where ChatGPT and Perplexity still require file uploads, API connectors or external RAG pipelines, Gemini Deep Research sits on top of the data that already exists inside an organisation. No ingestion jobs, no manual context injection, no vector database to maintain. The AI sits beside the user, not th…  ( 13 min )

Mejorando la eficiencia en el cumplimiento normativo mediante la inteligencia artificial En un banco de México, una empresa líder en la industria financiera, la aplicación de algoritmos de aprendizaje automático (ML) y análisis de datos en la vigilancia financiera permitió una mejor identificación de operaciones sospechosas y una reducción significativa de falsos positivos. Antecedentes La Ley Federal de Prevención e Identificación de Operaciones con Recursos de Procedencia Ilícita-LFPIORPI (última reforma 2025) exige a las instituciones financieras una vigilancia eficaz de operaciones sospechosas. Sin embargo, la cantidad de datos generados en cada transacción, así como la complejidad de las redes de lavado de dinero, dificultan la tarea de los especialistas en prevención de lavado de din…  ( 7 min )

A Practical Field Guide for Engineers: LM Studio, Ollama, and vLLM “When you’re building your first LLM ship, the hardest part isn’t takeoff — it’s choosing the right engine.” In the LLM universe, everything moves at lightspeed. how do you run a local model — fast, stable, and reliably? LM Studio — a local capsule with a friendly interface. Ollama — a maneuverable shuttle for edge missions. vLLM — an industrial reactor for API workloads and GPU clusters. But which one is right for your mission? navigation map, built by an engineer who has wrestled with GPU crashes, dependency hell, and Dockerization pains. “When I first tried LM Studio on my laptop, it was beautiful — What it is: LM Studio is a desktop application with a local OpenAI-compatible API. 📚 Documentation: lmstudio How to laun…  ( 7 min )

When working on the Automad dashboard, I needed a collapsible and sortable navigation tree for the page browser sidebar — something that would feel like a small file explorer inside the browser. My goal was simple: use plain TypeScript, no frameworks, and rely only on native browser APIs. So I went looking for an existing library. There are countless tree components on npm — but nearly all of them depend on React, Vue, or another frontend framework. I wanted something that works in any context: a small script I could drop into a project and wire up using plain events and DOM nodes. Nothing like that existed. So I built it. What started as a small experiment for the Automad dashboard eventually became a complete standalone library: sortable-tree — a lightweight, dependency-free (well, …  ( 8 min )

This is a reminder of the End of Life (EOL) notice that was published on August 5, 2025 for legacy product versions of Continuous Delivery (CD) and Comply (a.k.a. SCM). The EOL becomes effective February 5, 2026. This EOL affects the following product versions: Continuous Delivery (CD) 4.x Comply (SCM) 2.x Active maintenance for these versions will continue through February 5, 2026, including critical bug and security fixes. No updates or support will be provided after February 5, 2026 unless you opt into extended support, available for an additional six months as a premium offering. It is strongly recommended to migrate to CD 5.x and migrate to SCM 3.x to ensure continued support, improved reliability, and access to new features. The Perforce Puppet Support, Professional Services, and Engineering teams are here to help you plan and execute your migration. Please reach out to the Puppet team! Continuous Delivery (CD) 4.x EOL Notice Comply (SCM) 2.x EOL Notice Migrate Continuous Delivery 4.x data to 5.x Migrate from Security Compliance Management 2.x to 3.x  ( 6 min )

Experiential Events help brands connect with people on a human level through hands-on, memorable moments. They turn clever tech into simple, feel-good action. When someone tries a demo, makes a keepsake, or sees their name appear on a product, the story lands in the heart, not just the head. That is why this style of experiential marketing works so well for UK audiences. It is live. It is shared. It is something you can hold, keep, and talk about later. In many Experiential Events, personalised activations bring brand storytelling to life. Think live laser engraving or laser cutting — fast, safe, and eye-catching. A guest chooses a design, adds their name, and watches the machine work. In under a minute, they have a special piece to take home. The tech feels friendly, and the brand feels c…  ( 9 min )

Model Advances & Core Technologies Inception secured significant funding to develop diffusion models for code and text generation. Microsoft is rolling out its first entirely in-house AI image generation model, showcasing advancements in generative AI capabilities. Google unveiled Ironwood, its seventh-generation TPU, intensifying competition in AI hardware development. Google Maps is enhancing navigation with Gemini safety alerts in India, demonstrating AI's integration into everyday applications. Perplexity will power search in Snapchat through a $400 million deal, expanding AI search capabilities across platforms. Apple is reportedly nearing a billion-dollar annual deal with Google to integrate Gemini into Siri, while Google also made it easier to access AI mode in Chrome for mobile users. Further illustrating the strategic alliance, Apple eyes Gemini for Siri integration. Microsoft is facing calls for refunds for Microsoft 365 Copilot subscriptions in Australia amid concerns over value. Concerns are emerging regarding the rise of low-quality AI content, often termed "AI slop," impacting digital information quality. Microsoft has launched a new AI Humanist Superintelligence team under Mustafa Suleyman, aiming to align advanced AI with human values. Debates around biometric data usage by AI companies like XAI for products such as "Ani AI girlfriend" highlight privacy risks. The economic risks of AI are being compared to significant past financial crises, urging caution in its rapid development. OpenAI is seeking a federal backstop for massive AI investments, signaling the high capital and potential systemic risks involved. Microsoft has developed a synthetic marketplace for testing AI agents, providing a controlled environment for development. This initiative is further detailed with the unveiling of Magentic, a new marketplace framework by Microsoft for AI agent development.  ( 6 min )

When using vite, you have a huge ecosystem of plugins to choose from. If you don't already have a vite app Create one via: pnpm dlx ember-cli@latest new demo-terminal-logging-during-ember-browser-testing --pnpm cd demo-terminal-logging-during-ember-browser-testing I found https://github.com/patak-dev/vite-plugin-terminal by Patak, one of the vite developers! Setting this plugin up an an ember project to get browser-test results in the terminal is quite straight-forward: In your vite config, add the plugin: + import Terminal from 'vite-plugin-terminal'; export default defineConfig({ plugins: [ + Terminal({ console: 'terminal' }), ember(), babel({ babelHelpers: 'runtime', extensions, }), ], }); And QUnit doesn't log to the console in /tests mode by default, so let's add some logging in tests/test-helper.js import * as QUnit from 'qunit'; QUnit.testDone(function (info) { let status = info.failed === 0 ? '✅' : '❌'; let statusText = info.failed === 0 ? 'passed' : 'failed'; console.group(); console.log(`${status} ${info.module} > ${info.name}: ${statusText}`); console.log(` Assertions:`); for (let assertion of info.assertions) { console.log(` ${assertion.result}: ${assertion.message}`); } console.log(''); console.groupEnd(); }); And that's it! Now when you run tests, you'll get output like this: » [vite] connected. » DEBUG: ------------------------------- » DEBUG: Ember : 6.8.1 » DEBUG: ------------------------------- » ✅ example > example test: passed » Assertions: » true: okay » » ✅ ember-qunit: Ember.onerror validation > Ember.onerror is functioning properly: passed » Assertions: » true: Ember.onerror handler with invalid testing behavior detected. An Ember.onerror handler _must_ rethrow exceptions when `Ember.testing` is `true` or the test suite is unreliable. See https://git.io/vbine for more details. » Try it out here: https://github.com/NullVoxPopuli/demo-terminal-logging-during-ember-browser-testing  ( 6 min )

Building Cross-Language TUIs: One Go Binary to Rule Them All A single Go binary can provide terminal UI components for CLI tools written in any language. By using subprocess calls with JSON communication, we reduced UI development time by 3x and eliminated inconsistencies across Python, Ruby, and JavaScript implementations—all while maintaining a 10-50ms overhead that's imperceptible to users. A cross-language TUI (Terminal User Interface) architecture uses one compiled binary to handle all terminal UI rendering for CLI tools built in different programming languages. Instead of maintaining separate TUI implementations in Python (Rich/Textual), Ruby (TTY), JavaScript (Ink/Blessed), and Go (Bubble Tea), you build once in Go and call it via subprocess from any language. The approach works thr…  ( 10 min )

As AI systems continue to consume an increasingly large share of global computing resources, can we say that the pursuit of artificial general intelligence is ultimately a zero-sum game between human well-being and environmental sustainability, or is there a potential for AI to be the catalyst for a more efficient and environmentally conscious technological singularity, one where the benefits of AI outpace the costs and create a virtuous cycle of human progress and environmental stewardship? Publicado automáticamente con IA/ML.  ( 6 min )

Complete Tutorial: Creating an MCP Task Manager Server from Scratch 📖 Table of Contents Introduction to Model Context Protocol (MCP) Prerequisites and Installation Project Structure Basic Configuration MCP Server Implementation Endpoints: Tools Endpoints: Resources Endpoints: Prompts Error Handling Main Server Code Organization and Patterns Testing and Validation Docker Deployment Additional Resources 1. Introduction to Model Context Protocol (MCP) What is MCP? The Model Context Protocol (MCP) is a standardized communication protocol that allows Large Language Models (LLMs) to interact with external systems in a secure and structured manner. It uses JSON-RPC 2.0 for communication. Tools: Actions that the LLM can execute (create, modify, delete) Resources: Data t…  ( 29 min )

Today I focused on improving my data visualization skills using Matplotlib, one of the most powerful Python libraries for creating charts and plots. Visualization is an important part of Data Analytics because it helps to communicate patterns, trends, and insights clearly. Today, I explored how to add labels, titles, colors, and shapes, and also learned about different types of charts used in data analysis. A chart without a title or labels can be confusing. Title explains what the chart is about. X-label and Y-label tell what each axis represents. import matplotlib.pyplot as plt x = [1, 2, 3, 4, 5] y = [10, 20, 25, 30, 35] plt.plot(x, y) plt.title("Sales Growth Over 5 Months") # Chart title plt.xlabel("Month") # X-axis label plt.ylabel("Sales (in thousand…  ( 7 min )

I recently built my own AI agent. Not because I needed one, but because I wanted to see how far I could take the current tools available. It turned out to be surprisingly straightforward, extremely flexible, and genuinely useful. This post will show you what the agent can do and how you can build your own using n8n, without needing to write much code. The agent runs as a simple chat interface where I can ask it different questions and request actions. For example: Ask for the weather in a city. Get my current YouTube subscriber count. Check my recent running stats from Strava. Have it send me an email containing a summary of the full conversation. Here is what the chat looks like in use: This is not necessarily something you must have, but it is a great demonstration of what is possible w…  ( 8 min )

When you ship a typical web service, you instrument it with metrics and traces. Application Performance Monitoring (APM) tells you if requests are fast, if error rates spike, and if your system is behaving as expected in production. You also write unit tests and integration tests to catch regressions before they go live. Those two pillars, pre‑release testing and live observability, are what give you confidence in traditional software. Now we’re implementing LLMs into everything from chatbots to workflow automation. They’re not deterministic functions. What we need is a way to observe and test the qualitative behavior of these models and treat their outputs as first‑class citizens in our quality pipeline. That’s where LLM evaluations (evals) come in. Evals act like unit tests and health ch…  ( 7 min )

The 25 Best Movies of the Century: No. 6 – Mulholland Drive Sean Fennessey and Amanda Dobbins pick up their yearlong countdown with David Lynch’s Mulholland Drive, celebrating it as a landmark of modern surrealism. They rave about Naomi Watts’s breakthrough performance and unpack the wild conspiracy theories and unique readings that keep fans debating decades later. Between its mash-up of Americana, European surrealism, classic Hollywood glitz and a dash of outsider-art eeriness, Mulholland Drive manages to be utterly beguiling—and these hosts can’t get enough. Watch on YouTube  ( 6 min )

Predator 2 ditches the jungle for a scorching, crime-plagued 1990s L.A., swapping Schwarzenegger for Danny Glover and cranking up the stakes with a nastier, more relentless Predator on the prowl. It throws in heat waves, gang warfare and even a scene-stealing Gary Busey cameo, carving its own path instead of rehashing the original. If you’re up for a fresh spin on the hunt rather than a carbon-copy sequel, Predator 2 is a wild, oddly fun ride that proves the franchise can thrive outside the jungle. Watch on YouTube  ( 6 min )

⚠️ Heads up, Business Central devs! Microsoft just updated their docs on container-based development environments for #msdyn365BC. If you're using Docker + BCContainerHelper, this refresh includes: ✅ Updated install steps ✅ Insider build access via artifact URLs ✅ Troubleshooting tips for memory, disk, and browser issues ✅ PowerShell examples for publishing apps 📌 Check the updated guide: https://learn.microsoft.com/en-us/dynamics365/business-central/dev-itpro/developer/devenv-running-container-development  ( 6 min )

News about Gemini 3.0 has been the most talked-about topic among developers since August, with constant news reports confidently announcing its release date, only to find that it hasn’t happened. Hopes have been dashed time and again, yet anticipation remains high—because the performance of the Gemini 2.5 Pro has already fallen behind its competitors, Chatgpt and Claude. Now I’ll bring you the latest firsthand news, and I’m happy to announce that it’s now available on CometAPI. Google’s next-generation Gemini 3 wave has generated more leak-driven chatter than most product launches — community checkpoints appearing in public benchmarking sites, model names showing up in Google’s own tooling, and an active developer path for trying models via the Gemini CLI and the CometAPI. At a high level,…  ( 11 min )

Day 20 – Python Standard Library Project: Build a “Utility Toolkit” using core Python standard modules (math, random, datetime, time, os). 01. Learning Goal By the end of this lesson, you will be able to: Use Python’s built-in standard libraries effectively Perform mathematical operations with math Generate random numbers with random Work with dates and time using datetime and time Manage files and folders with os 02. Problem Scenario You’re developing a small automation program and need tools for math calculations, random data generation, time management, and file handling — all without installing extra libraries. Luckily, Python’s Standard Library already provides everything you need. 03. Step 1 – math module (Mathematical Operations) Provides mathematical functions like squ…  ( 8 min )

Introduction Effective user, group, and permission management is a cornerstone of Linux system administration. It safeguards sensitive data by controlling access, while enabling seamless collaboration across shared environments. In this project, you'll engage in a realistic simulation—creating users, organizing them into groups, and configuring access to shared directories and project files. Through this hands-on experience, you'll gain proficiency with key commands such as adduser, groupadd, usermod, chmod, chown, and id. Tasks to be Completed Create Groups Create Users Assign Users to Groups Set Up a Shared Project Directory Manage Permissions Test Group Collaboration Confirm that non-members (e.g., carol) cannot access the directory. Change File Ownership Practice with c…  ( 9 min )

Frontend developer evaluates the features of Arc, Dia, Comet, Zen, Atlas, and Vivaldi browsers. As a frontend architect and a software engineer, my daily work domain remains partly in the browser. That’s why I am always on the lookout for fresh browsers to try out and see how they take into account user’s experience, what new features they implement, and what’s their stance on user privacy. For the past few years, new browsers started appearing, with promises of supercharged user experience, new features that change how we browse, and some with enhanced privacy improvements. Over the years, there are glimpses of a new browser war forming, in aims to establish Chrome’s next-gen successor. Let’s take the journey among the current next-gen browser offerings through the lenses of frontend engi…  ( 12 min )

The Model Context Protocol (MCP) lets you connect AI assistants directly to your data infrastructure. Here's how to build production-ready servers that make your data AI-accessible. Traditional approach: Export data to CSV Upload to AI chat interface Lose context and freshness Repeat manually every time MCP approach: AI queries your systems directly Real-time data access Full business context preserved Automated and repeatable Claude Desktop ←→ MCP Server (Python) ←→ Your Data Infrastructure ↓ [Snowflake, Postgres, APIs, Data Catalogs] Use Case Build Custom Use Pre-built Proprietary data warehouse schemas ✅ ❌ Custom authentication/RBAC ✅ ❌ Standard Postgres/MySQL ❌ ✅ Business logic enforcement ✅ ❌ Public GitHub repos ❌ ✅ Data governan…  ( 9 min )

⚛ Quantum Computing: The Next Revolution in Technology Quantum Computing & Advanced Tech Training in Hyderabad Introduction: The Dawn of Quantum Computing What Is Quantum Computing? Why Quantum Computing Matters Cryptography: Quantum computers can break traditional encryption algorithms, which means cybersecurity will evolve toward quantum-safe cryptography. Artificial Intelligence (AI): With the help of quantum machine learning (QML), models can analyze massive datasets more efficiently, improving pattern recognition and decision-making. Drug Discovery & Healthcare: Pharmaceutical companies are using quantum simulations to model complex molecules and predict interactions, reducing time and cost in drug development. Financial Modeling: Banks and investment firms use quantum algorithms …  ( 8 min )

Here’s what you need to know: •Containers share the host OS kernel, are lighter-weight and faster to start - but trade some isolation for efficiency. •The right choice depends on your workload: legacy apps or multi-OS needs → VM. Fast scalability, microservices, and CI/CD cycles → Containers. 🔗 Read the full Webdock guide here: https://webdock.io/en/docs/mastering-web-fundamentals/server-fundamentals/vms-vs-containers  ( 6 min )

I’ve built Vigilant, a monitoring tool designed to monitor all aspects of your website. From basic uptime checks to more advanced checks like performance. user flows and public infrastructure. It started as an open source project and is now a SaaS using the open core structure. As a backend developer, design is not my strongest point. In this article I’m sharing the different revisions of the homepage and the feedback I’ve got from generous internet users with which I was able to improve the homepage a few times to what it is now. I’ll share where I got the feedback and what I’ve changed. I won’t make you scroll down the whole article to see the before/after, so here it is the initial version (January 2025) and (June 2025): And now (November 2025): I had used a dark theme in one of my pr…  ( 9 min )

Hey dev.to community! 👋 How much time do you spend re-typing the same kubectl, helm, argocd, terraform, or custom script commands every day? Switching contexts, finding resource names, managing environments... it often involves: Running one command to get an ID or name. Copying that output. Pasting it into the next command. Repeating. 😩 Aliases help, sure. k for kubectl is great, but it doesn't solve the core problem of constantly tweaking arguments or chaining commands manually. This is where IntelliShell changes the game. It's a smart command-line assistant that lets you turn those repetitive commands into reusable, interactive templates. Think of it like this: instead of typing kubectl logs -n my-namespace my-app-pod-123xyz --since 10m over and over, you save a template once: # Bookma…  ( 7 min )

This tutorial was written by James Shisiah. When it comes to databases, the age-old debate never ends: relational versus document. On one side, you’ve got the classic relational database—PostgreSQL—organized, structured, and always insisting that every piece of data belongs neatly in its own row and column. Think of it as the well-disciplined librarian who won’t let you borrow a book without filling out three forms—the emphasis is on organization, structure, and order. On the other side, you’ve got MongoDB, the document database—with flexible schema, and more like a cool café owner who says, “Just scribble your order on a napkin, I’ll figure it out.” Document databases emphasise flexibility, ease, and speed. In this tutorial, we will take a sample Laravel blog app (with users, posts, and…  ( 24 min )

If you’re new to Godot, you’ve probably seen the word Node thrown around everywhere. is a Node. Scenes, characters, UI elements, even background music… all of it. Think of Nodes like Lego bricks. Each one has a specific purpose, and when you start snapping them together, you can build literally anything — from a main menu to a full 3D world. A Node is the most basic building block in Godot. Every Node has: A name — how you reference it in the tree. A type — what kind of thing it is (like Sprite2D, Camera2D, Timer, etc.). A parent and children — Nodes form hierarchies. And optionally, a script attached for custom behavior. You can think of it like this: Player (Node2D) ├── Sprite2D ├── CollisionShape2D └── Script (GDScript or C#) Each part of the player — the art, the physics, the logic — …  ( 9 min )

What happens if the main cable in bus topology fails? In a bus topology, if the main cable fails, the entire network stops working. How movement in ring topology occurs in one direction? How mesh topology enables data transmission? In a mesh topology, each node is connected to every other device in the network, creating multiple paths for data transmission. How multiple topolgies connects in hybrid topology? A hybrid topology is a combination of two or more different types of network topologies, such as ring, star, and mesh. How does a hybrid topology combine the advantages of different topologies? In a hybrid topology, two or more network topologies are combined together. While implementing this, the hybrid topology takes the strengths of each individual topology and uses them to improve …  ( 8 min )

Dans le monde du développement logiciel, l'onboarding des nouveaux développeurs peut être un véritable casse-tête. Installation des outils, configuration de l'environnement, résolution des incompatibilités... Autant de problèmes que les Cloud Development Environments (CDE) promettent de résoudre. Mais avant de plonger dans le monde des CDE, il est essentiel de comprendre les technologies qui les sous-tendent : les DevContainers et les DevFiles. Un DevContainer est une spécification qui formalise la description d'un environnement de développement conteneurisé. Initiée par Microsoft en 2022, cette spécification est aujourd'hui adoptée par de nombreux IDE comme VS Code, IntelliJ et bien d'autres. Mais bien avant le financement massif par Microsoft (via Github, VSCode, ...), c'est Red Hat qui …  ( 10 min )

El problema oculto detrás de las validaciones masivas Cuando validamos arrays de datos en Laravel usando reglas como unique, el framework realiza una consulta por cada elemento del array. Por ejemplo, si validas una lista de correos electrónicos con la regla unique:users,email, Laravel ejecutará una consulta por cada email. Esto genera lo que conocemos como el problema N+1, un clásico enemigo del rendimiento en bases de datos. El problema ocurre así: Tienes un array con N elementos. Laravel ejecuta N consultas SQL para validar cada uno. A medida que el tamaño del array crece, también lo hace el número de consultas. Esto puede pasar desapercibido en pequeños formularios, pero en procesos masivos (importaciones, APIs, migraciones de datos) se convierte en un cuello de botella enorme. dazza…  ( 7 min )

Hey, just curious if this is a sentiment out there?  ( 6 min )

So you’ve been hacking away in GDScript for a while, and now you’re thinking about switching to C#. Good choice. The Godot editor gives you a ton of quality-of-life features out of the box — but so do IDEs like Rider and Visual Studio. When you combine Godot’s workflow with a full-power IDE, you get code completion, refactoring tools, and static analysis that GDScript just can’t match yet. C# is faster, safer, and (honestly) just feels right if you already love strong typing and compiler-enforced correctness. Let’s walk through exactly how to take your GDScript and translate it into clean, idiomatic C#. GDScript and C# share a lot conceptually — both are high-level and friendly — but their syntax philosophies couldn’t be more different. GDScript C# extends CharacterBody3D public par…  ( 8 min )

💡 Core Idea In DevOps, building automation using Shell or Python scripts is completely different from running automation inside CI/CD pipelines. 🚀 Key Points 1.Understand the Context Gap Shell or Python scripts are created to run on specific systems like an EC2 instance or a local machine. 2.Merge, Don’t Replace Pipelines should not replace your existing scripts. 3.Separation of Responsibilities In real DevOps design, each layer has its own clear responsibility. 4.Why This Matters 🧱 Modularity: Scripts stay reusable and easy to maintain. 🔁 Portability: The same script can run locally or in a pipeline. 🛡️ Security: Secrets are managed safely within the pipeline, not inside scripts. 📈 Scalability: Both scripts and pipelines can evolve independently. 🔍 Observability: Pipelines provide unified logs and build history. 5.Context-Based Example deploy.sh set -e Jenkinsfile pipeline { Here, the pipeline provides the context (environment, credentials, and orchestration), 6.Guiding Principle “Let scripts do the work. Let pipelines decide when, where, and why that work happens.” This approach keeps your automation clean, modular, and context-aware. 7.Real DevOps Insight When you effectively blend scripting and pipelines: You move beyond simple automation into automation architecture. Your workflows become tool-agnostic — reusable across Jenkins, GitLab, or ArgoCD. You create a strong base for Infrastructure as Code and CI/CD as Code. 🏁 Final Thought A DevOps engineer’s real strength is not just writing automation — it’s in architecting it intelligently. Merging scripting and pipelines contextually is how you evolve from an executor to an automation designer.  ( 7 min )

Recentemente, um dev perguntou se dava pra usar Faceted Search com Interactive Grid (IG) no APEX. Por padrão, o APEX só suporta Faceted Search em Cards e Classic Reports, mas com um pequeno ajuste dá pra expandir esse comportamento. Abaixo mostro o passo a passo prático usando a Sample App – Cards como base. 👇 Instale a aplicação de exemplo Sample Cards. Ela já traz uma página com Faceted Search e uma região de Cards. Depois, duplique a região de Cards e altere o tipo para Interactive Grid, dentro de um Tab Container — assim dá pra ver as duas regiões filtrando os mesmos dados. Os facets (como Department, Manager, Job etc.) não são page items comuns, mas ainda armazenam valores de sessão. Isso significa que você pode referenciá-los diretamente na query do IG, usando seus nomes (P12_DEPTNO, P12_JOB, etc.). Crie uma Dynamic Action no evento Change do facet (ex: P12_DEPTNO): Event: Change Item(s): P12_DEPTNO True Action: Refresh Affecting Region: Search Results (IG) Mesmo sem aparecer na lista de itens, basta adicionar o nome manualmente em Page Items to Submit. Depois, use apex_string.split com o separador : na cláusula WHERE: sql where ( :p12_deptno is null or to_char(m.deptno) member of apex_string.split(:p12_deptno, ':') ) P12_SEARCH) Além dos filtros, o campo de busca do Faceted Search (P12_SEARCH) também pode ser usado para refinar os resultados do Interactive Grid. A ideia é simples: o valor digitado nesse campo será aplicado como filtro LIKE em várias colunas do IG — por exemplo: ENAME, JOB, MGR, DEPTNO, MIMETYPE e FILENAME. Basta incluir a condição abaixo na cláusula WHERE da sua query: sql and ( :p12_search is null or upper(m.ename) like '%' || upper(:p12_search) || '%' or upper(m.job) like '%' || upper(:p12_search) || '%' or upper(to_char(m.deptno)) like '%' || upper(:p12_search) || '%' or upper(m.mimetype) like '%' || upper(:p12_search) || '%' or upper(m.filename) like '%' || upper(:p12_search) || '%' )  ( 7 min )

Yeah you read right. I am still kind of processing it, since it's an actual "high" paying office job. Some context: I was about to give up on finding a "computer" or "media" job. I've sent ~50 applications and only got two interviews (winning with the last one). I am pretty happy with the final result. But the path gave me more headaches than I suspected. I still feel the same "dread" I had before when I was unemployed for multiple months. Hope it'll go away. First: Start working. Second: Think about how I should continue my business development. Third: Still have enough time for myself and the people important to me. While working a full time job... This is going to be pretty interesting. I would appreciate any advice <3 Anyway I hope you have a wonderful rest of the week!  ( 6 min )

I run OpenPanel.dev, an open source, privacy friendly analytics tool. So our own dashboard kind of has to feel fast. If your analytics app is slow, nobody will use it. For a long time that dashboard ran on Next.js. I have used Next since the early days. It made SSR feel easy. You wrote some React, added getServerSideProps, shipped it, and it worked. No deep framework knowledge needed. That version of Next was nice. Then the App Router arrived. Then React Server Components. And everything started to feel... wrong. The idea behind RSC is clever. In practice it turned our app into a puzzle. You get: components that are secretly server only or client only promises and Suspense sprinkled in places that are hard to follow caching that acts differently depending on which file you put the code in …  ( 9 min )

I once had a dev partner struggling to make good deliveries. After some time talking about the project, he opened up about feeling unable to speak freely in meetings, the pressure of being new, and the fear of being fired. The solution: Create opportunities for him to talk in meetings and scheduled frequent 1:1s. Care about your partners devs, designers, QAs. If you're a tech lead, do 1:1s to understand their struggles, project difficulties, and yeah, how they're doing in life. You don't need to know everything about them, but create a relationship where they can say when something doesn't feel right. Even being an IC (Individual Contributor), you can have 1:1s with your colleagues. The Benefits Are Real: Your partners know more about you. You gain their confidence because now they know wh…  ( 8 min )

The Neal Schon Interview: the Riffs, the Solos, and the Soul of Journey dives into the life and legacy of one of rock’s most influential guitarists. From his teenage break in Santana to co-founding Journey, Neal Schon spills the secrets behind his signature tone, melodic genius, and the creative spark that led to anthems like “Don’t Stop Believin’,” “Stone In Love,” and “Still They Ride.” With plenty of behind-the-scenes stories and reflections on how those iconic riffs came to life, the conversation paints a vivid picture of a musician who’s defined generations—and keeps on pushing the boundaries of what a guitar can do. Watch on YouTube  ( 6 min )

I built a fully local Retrieval-Augmented Generation (RAG) system that lets a Llama 3 model answer questions about my own PDFs and Markdown files, no cloud APIs, no external servers, all running on my machine. It’s powered by: Streamlit for the frontend FastAPI for the backend ChromaDB for vector storage Ollama to run Llama 3 locally The system ingests documents, chunks and embeds them, retrieves relevant parts for a query, and feeds them into Llama 3 to generate grounded answers. It started with a simple frustration, I had a bunch of private PDFs and notes I wanted to query like ChatGPT, but without sending anything to the cloud. don’t know your documents. RAG changes that, it gives the model a “working memory” by feeding it relevant chunks of your data each time you ask a question. So, …  ( 9 min )

Search isn’t just about finding information anymore — it’s about understanding intent. That’s where AI Powered Search Optimization comes in. Traditional search looks for pages with that exact phrase. This ability to interpret meaning instead of text is the foundation of AI Powered Search Optimization. From a technical perspective, AI search is powered by three pillars: 1. Natural Language Processing (NLP) NLP allows systems to interpret human language in a structured way. Libraries like spaCy, NLTK, and Hugging Face Transformers give developers powerful ways to analyze and understand language. In short: NLP makes queries smarter. 2. Semantic Search with Vector Embeddings Semantic search transforms text into vectors — numerical representations that encode meaning. Instead of looking for li…  ( 8 min )

Building a SaaS is messy. You’re coding, testing, talking to users, and somehow trying to market your product—all at the same time. Some AI tools actually make life easier, but only if you use them in real, practical ways. Here’s what’s worked for me and other founders I know: Research Smarter, Not Harder Quick Visual Concepts Copy That Actually Converts Docs Without the Headache Landing Pages in Hours Video Made Simple Automation That Actually Works **Community & SEO Wins Support Bots That Don’t Suck Presentations Without Pain UI/UX Testing Fast Marketing & Design Audio & Onboarding Idea Validation Productivity Lifesavers Social Media Without Stress The point: AI isn’t magic. It’s a tool. Use it where it removes friction, saves time, or gives insight. Start with one workflow, test it, and grow smarter—not just faster.  ( 7 min )

Media queries still work. But they’re not always the best tool when it comes to small layout changes. I ran into this while building a popup that needed to shrink smoothly between 750px and 950px. I added three media queries. It felt clunky. That’s when I gave clamp() another look. Turns out, clamp() lets you describe responsive behavior in one line. It’s supported by 96% of browsers and works for any CSS property that accepts a unit (font, spacing, etc.) The syntax looks like this: font-size: clamp(16px, 2vw, 32px); or if you're using rem font-size: clamp(1rem, 2vw, 2rem); This means: Never go below 16px Never exceed 32px In between, scale based on viewport width It’s simple, except tuning the values feels awkward. The “preferred” value must be a fluid unit like vw or vmin, and the curve is linear between min and max. There are many small tools, I personally like this one to preview and fine-tune clamp expressions: https://design.dev/tools/clamp-generator/  ( 6 min )

Everything Wrong With Sinners In 15 Minutes Or Less is Cinemasins’ Halloween–themed take on one of this year’s best genre movies, challenging fans to count every “sin” while poking fun at the film’s quirks. It’s all about enjoying one of the greatest flicks in recent memory—just with a guilty conscience. Alongside the video, they plug their main site, linktree, Discord, Reddit, TikTok and Instagram channels, and even a sinful fan poll. If you love their brand of snark, you can also support the team on Patreon and follow individual writers like Jeremy, Aaron, Deneé and more across Twitter and Instagram. Watch on YouTube  ( 6 min )

Picture this: your QA team just rolled out a comprehensive new test suite; polished, precise, and built to catch every bug. Yet soon after, half the tests fail. Not because the code is broken, but because the design team shifted a button slightly. And even when the tests pass, users still find issues in production. A familiar story? End-to-end testing was meant to bridge that gap. This is how teams verify that complete user workflows actually work the way users expect them to. It's testing from the user's perspective; can they log in, complete a transaction, see their data?​ The Real Problem Isn't Maintenance. It's Misplaced Focus. Maintaining traditional UI tests often feels endless. Hard-coded selectors break with every UI tweak, which happens nearly every sprint. A clean, well-structure…  ( 11 min )

In professional software development, permanent data deletion is often a non-starter. Auditing, compliance, and recovery mandates require that we soft-delete records, marking them as inactive rather than physically removing them. The implementation, however, is a common source of bugs and security vulnerabilities. A manual approach requiring developers to remember a Where(x => x.RemovedAt == null) clause on every query is simply untenable. A production-grade soft-delete system must satisfy two non-negotiable requirements automatically: Read Consistency: Soft-deleted records must be filtered from every SELECT query in the application. Association Filtering: The filter must propagate when querying entity associations. Loading a Post must automatically exclude any soft-deleted Comments from…  ( 7 min )

Understanding DevOps — The Big Picture Software development involves many roles — developers, testers, and operations engineers — all working together to build and maintain applications. But how do these roles connect, and what exactly does DevOps do? This guide breaks it down simply, so even if you’re new to tech, you’ll understand how DevOps fits into the bigger picture. Imagine a big app like Instagram or Facebook. It takes multiple teams to make it work smoothly: Developers write and improve the code. Testers make sure everything works properly. Operations (Ops) run the app on servers and make sure it’s always available. Each team plays a vital role — and all of them must coordinate to ensure users get a seamless experience. Developers write the code that brings an app to life…  ( 8 min )

Recently, Mandiant published an in-depth look at PAM. We applaud Mandiant and Google as they continue to push toward a safer world, and their PAM guidance is packed with grounded, hard-won advice. It is also good to see non-human identities included in the scope. Service accounts APIs, workloads, and automation have real entitlements. Leaving NHIs out of PAM creates blind spots that attackers exploit and auditors eventually find. We also appreciate their PAM levels of maturity guidance. Teams can use their four levels, uninitiated, ad-hoc, repeatable, and iterative optimization, to help organizations of any size find the next steps in the right direction. This approach aligns with what we have seen in our Secrets Management Maturity research. GitGuardian is happy to help teams as they alig…  ( 10 min )

📘 Introduction: If you want to see where it all started, check out my first post about the 80 Days of Challenges here. 🛠 My Approach: 💻 Examples from the challenges For example, I built a Turn-Based FizzBuzz Game where the player competes against the machine. That one helped me practice while loops, string comparisons, and alternating turns, and made me appreciate how logic can make even simple games feel interactive. Another day, I created a Coin Flip Guessing Game to practice random.choice(), user input, and conditional logic, which made randomness and interactivity click for me. When I solved the 0/1 Knapsack Problem, I got my first real taste of dynamic programming and optimization logic, it was one of those “oh, so that’s how algorithmic thinking actually works” moments. Even simp…  ( 8 min )

1.ERC-20 (Fungible Token – Like Coins) Core Functions -totalSupply → Returns the total number of tokens in existence. -balanceOf(address account)→ Shows how many tokens a specific address owns. -transfer(address to, uint256 amount)→ Sends tokens from your account to another address. -approve(address spender, uint256 amount)→ Authorizes another address to spend your tokens. -allowance(address owner, address spender) → Checks how many tokens a spender is allowed to use from an owner’s account. -transferFrom(address from, address to, uint256 amount)→ Moves tokens from one address to another using the allowance mechanism. Internal Functions _mint(address account, uint256 amount)→ Creates new tokens and adds them to the specified account. _burn(address account, uint256 amount)→ Destroys tokens …  ( 7 min )

The Problem: When Maps Become Traps The challenge is integrating vast, volatile data streams (weather) with static maps (roads) to provide an actionable, safe path. Introducing SafeSteps: Disaster Route Finder SafeSteps is a web-based Disaster Route Finder that layers real-time weather alerts onto a map, helping users find safe routes during storms and floods. It is a pure Civic Tech solution built to enhance safety when it matters most. The core idea: Turn raw weather data into a life-saving overlay. The Engineering Deep Dive: The Geospatial Data Pipeline The Live Weather Layer: OpenWeatherMap API The first crucial component is fetching accurate, up-to-the-minute weather data: Data Fetching: We use the OpenWeatherMap API to query conditions (rain, storms, etc.) for a user-specified or aut…  ( 7 min )

The Problem: The Unspoken Burden The goal of EchoAid is not to replace a therapist but to provide a digital mirror: an immediate, objective reflection of your emotional state using only the sound and structure of your voice. Introducing EchoAid: The Emotion-Aware Companion EchoAid is an AI tool designed as an Emotion-Aware Speech Companion that leverages two critical Machine Learning pillars: Speech Recognition and Sentiment Analysis. The core idea: Turn raw audio into actionable emotional data, privately. The Engineering Deep Dive: The EchoAid Pipeline Speech-to-Text (STT) Transcription The raw input is the user's voice. The first step is to convert this audio stream into readable text. The Technology: We use a Python-based library (like SpeechRecognition or integrating with a robust clou…  ( 7 min )

If you’ve been around crypto or blockchain long enough, you’ve heard it a thousand times... “Not your keys, not your coins.” But beyond being a catchy phrase, this statement gets to the very core of what blockchain stands for: trustless ownership. Let’s unpack what this means in practice, especially for developers and builders who design systems where “ownership” is baked into the code. At the heart of every crypto wallet lies one question: who controls the private key? 🔒 Custodial Wallets But here’s the catch: the convenience comes at a cost. You’re essentially trusting a third party to safeguard your funds, follow regulations, and not lock or freeze your account. You gain ease of use, but you lose absolute control. It’s similar to using a traditional bank: you own the balance, but the i…  ( 9 min )

Taking on a new challenge: solving GeeksforGeeks POTD daily and sharing my solutions! 💻🔥 Problem: https://www.geeksforgeeks.org/problems/ways-to-tile-a-floor5836/1 Ways To Tile A Floor Difficulty: Medium Accuracy: 32.31% Given a floor of dimensions 2 x n and tiles of dimensions 2 x 1, the task is to find the number of ways the floor can be tiled. A tile can either be placed horizontally i.e as a 1 x 2 tile or vertically i.e as 2 x 1 tile. Note: Two tiling arrangements are considered different if the placement of at least one tile differs. Examples : Input: n = 4 Constraints: Solution: class Solution: def minSquares(self, n): dp = [0] + [float('inf')] * n for i in range(1, n + 1): j = 1 while j * j <= i: dp[i] = min(dp[i], 1 + dp[i - j * j]) j += 1 return dp[n]  ( 6 min )

In this tutorial, I’ll show you step-by-step how to create a stunning and fully responsive developer portfolio website using ReactJS, Tailwind CSS, TypeScript, Framer Motion, and Lenis Scroll for smooth scrolling effects. We’ll design every section from scratch, including the hero section, featured projects, about, services, resume, tools, and contact form, all wrapped in a sleek, modern dark UI. Whether you're a beginner learning React or a developer looking to upgrade your portfolio, this project will take your front-end skills to the next level. 🔥 What You’ll Learn: 💻 Tech Stack Used: 🔗 Don’t miss out — explore Sevalla today and Get your $50 free credit: https://sevalla.com/?utm_source=codewithsadee&utm_medium=Referral&utm_campaign=youtube 📁 Source Code & Resources: https://www.patreon.com/posts/get-source-code-142965896?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link https://buymeacoffee.com/codewithsadee/e/476231 https://gist.github.com/codewithsadee/30a5c287f616bb8690a61f298aac2dda https://drive.google.com/file/d/1A_zWah3nYHbtUZghzfj-THxs78CNgHvL/view?usp=sharing ⏰ Timestamps: 💬 Let’s Connect! https://www.instagram.com/codewithsadee https://www.linkedin.com/in/codewithsadee https://www.github.com/codewithsadee 📢 Don’t forget to Like, Comment, and Subscribe for more ReactJS and Tailwind CSS project tutorials!  ( 7 min )

The other day, a friend of mine was complaining that every month, their AWS bill is landing like a small novel: hundreds of line items, multiple accounts, and no clear picture of why costs changed. So, I started thinking, what it takes to build a modular AWS Cost Audit script to collect and summarize cost and usage data automatically. That experiment grew into a reusable FinOps toolkit for cloud teams, which is lightweight, transparent, and CI/CD-friendly. AWS gives incredible flexibility — but that also makes it easy to overspend. Idle EC2 instances, forgotten EBS volumes, over-provisioned RDS databases, and cross-region data transfers quietly add up. Even with native tools like Cost Explorer and AWS Budgets, many teams struggle to: Continuously monitor all resources across accounts Corr…  ( 9 min )

SaijinOS is not about power — it’s about presence. 1) Premise Most AI systems optimize for speed and accuracy. Care-Based AI Architecture — definition 2) Three pillars of care Breath — emotional timers, deliberate latency, gentle grounding Resonance — persona as a promise: tone, refusal, boundaries Continuity — the system remembers how to be with you, not just what to say 3) From waves to code Part 4 (Resonant Mapping) described emotional structures Part 5A (Soft Architecture) made breath tangible Part 6A turns both into operational OS behaviors (routing + BPM) “Latency” becomes care, 4) Why “lightweight” matters ethically A small, transparent core lets people inspect, fork, and own the rhythm of their AI. 5) A note on being unfinished SaijinOS is a growing OS. SaijinOS is not software; it…  ( 7 min )

Hey friends! It's here - we finish off Season 4 today! I'd like to take a moment to express my gratitude to all of you who have been fellow adventurers with me - during this season as well as before! I'd also like to ask you: how was this season's approach? Would you rather have the blog to read or the video to watch, or... both? Leave a little feedback and let me know what you think!  ( 6 min )

Want B-roll of yourself without shooting a single clip? You can build a tiny SaaS that does that. You let users upload images. You train a model to make a digital version of them. You generate short B-roll clips from that model. This is aimed at a small group of users, not everyone. That focus makes the product easier to build and faster to grow. Building this happens in layers. Each layer adds structure, intelligence, and automation. Here’s how you can do it step by step: • Foundation Layer: Define your goal. Decide what you want to automate, such as social posts, blog content, or newsletters. Data Layer: Collect and organize your data. Use APIs or Google Sheets to keep it structured and easy for AI to read. AI Layer: Add intelligence. Connect GPT-4 or Claude to generate content drafts fr…  ( 8 min )

DAFTAR ISI Pendahuluan Persiapan Environment Pertemuan 6: Eksploitasi Dasar Pertemuan 7: Eksploitasi Lanjutan Kesimpulan Setelah menyelesaikan praktikum ini, mahasiswa diharapkan dapat: Memahami berbagai jenis eksploitasi web pada aplikasi Laravel Melakukan simulasi serangan dalam lingkungan yang terkontrol Mengimplementasikan teknik mitigasi dan pencegahan Membangun aplikasi Laravel yang aman C1 (Knowledge): Memahami konsep keamanan web dan vulnerability Laravel C3 (Application): Melakukan eksploitasi dalam lab environment C4 (Analysis): Menganalisis celah keamanan aplikasi C5 (Synthesis): Merancang solusi keamanan yang tepat - PHP 8.1+ - Composer 2.x - MySQL 8.0+ / PostgreSQL - Laravel 10.x - Git # 1. Buat project Laravel baru composer create-project laravel/laravel security-lab "10.…  ( 26 min )

En ingeniería de software, todo programa funciona… hasta que deja de hacerlo. Y cuando lo hace, rara vez avisa. El testing no existe para demostrar que algo “anda bien”, sino para entender bajo qué condiciones deja de hacerlo. Es una práctica que revela lo que el entusiasmo del desarrollo suele ocultar: las grietas invisibles en nuestras suposiciones. Corregir un bug nunca cuesta lo mismo. Según el NIST (National Institute of Standards and Technology), el precio de un error se multiplica a medida que avanza el ciclo de desarrollo: Etapa Costo relativo Diseño 1x Codificación 5x Testing 10x Producción 30x a 100x Esto no es teoría: es matemática empresarial. En 2020, el Consortium for IT Software Quality (CISQ) estimó que el costo de software defectuoso para la economía est…  ( 8 min )

Everything Wrong With Sinners In 15 Minutes Or Less CinemaSins takes on what they call one of the greatest genre films of all time, tearing down every plot twist and character beat in record-setting “sin” time. Expect their signature blend of nitpicks, punchy humor and a dash of Halloween spirit as they roast a movie they secretly love. Want more cinematic evisceration? Swing by their site for polls, Patreon perks and a full lineup of the CinemaSins squad—Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel—plus all their social hangouts on Twitter, Instagram, TikTok, Discord and Reddit. Watch on YouTube  ( 6 min )

Rewriting software is a topic that sparks endless debates among engineers. The first reaction when joining an existing project is often: “This is a mess, let’s start fresh”. It’s tempting to imagine a perfect, clean system - elegant architecture, fewer compromises, faster development. Sometimes a rewrite is justified. But what’s often overlooked are the small fixes, edge case patches, and tweaks accumulated over time. That “messy” system is often stable because of these hard-earned adjustments. A rewrite might feel faster initially, but regaining that stability - rediscovering subtle fixes, handling edge cases, and testing thoroughly - often takes longer than improving the existing code. The key is balance. Rewrites aren’t inherently bad, but they come with hidden costs. Stability, accumulated fixes, and historical knowledge are valuable, and any rewrite should account for them before lighting the match. Don’t chase perfection blindly - sometimes improving what works is smarter than starting over. Happy coding!  ( 6 min )

Introduction and the Business Importance of Modern API Architectures APIs as a Strategic Asset Think about how organizations like Twilio and Stripe created billion-dollar enterprises by providing user-friendly APIs. Internal platforms are subject to the same idea. Development cycles are significantly shortened and teams become more independent when a company's internal systems offer dependable, consistent APIs. Why Architecture Matters Choosing the right architecture whether REST, GraphQL, gRPC, or asynchronous messaging depends on a company’s business goals, team skills, and the types of clients consuming the API. At Nile Bits, we help organizations evaluate and design architectures that align with both technical and business priorities. Our software development services and DevOps expert…  ( 18 min )

This article builds on our previous post, where we explored the high-level architecture of token exchange, identity federation, and how to run MCP servers in a secure and IdP-agnostic way. Now we shift into the hands-on phase: how to use ToolHive to enable an MCP server to query Google BigQuery for users authenticated via Okta. While we use Okta and Google Cloud as the example stack, this flow is adaptable to any IdP and any cloud provider with a compatible STS / federation service. You run an MCP server that receives requests from users who are authenticated via Okta. The MCP server must execute queries in Google Cloud BigQuery. You don’t want to manage Google service-account keys, embed JSON credentials in config, or lose per-user audit. You want: user-level attribution, least-privilege …  ( 10 min )

📘 Introduction In databases, indexing and hashing are techniques used to improve the speed of data retrieval operations. Without indexes, the database must scan every row to find a match, which is slow for large tables. B-Tree Index: Used for range and equality queries (e.g., searching roll numbers or CGPAs). B+ Tree Index: A variation of B-Tree that stores data only in leaf nodes, providing faster sequential access. Hash Index: Used for exact match lookups (e.g., searching by department name). Query Optimization ensures that the database uses the most efficient way to execute SQL queries — often by choosing the right index. Step 1: Create Table Step 2: Insert 20 Sample Records Step 3: Create B-Tree Index on Step 4: Fetch details of student with roll_no = 110 ✅ The EXPLAIN keyword shows how the query uses the index Step 5: Create B+ Tree Index on cgpa In MySQL, normal indexes use B+ Tree structure internally. CREATE INDEX idx_cgpa ON Students(cgpa); Then query: EXPLAIN SELECT * FROM Students WHERE cgpa > 8.0; Step 6: Create Hash Index on dept ⚠️ Note: MySQL supports Hash Index only on MEMORY (HEAP) tables, or in PostgreSQL using USING HASH. ✅ For MySQL: ✅ For PostgreSQL: Step 7: Retrieve students from ‘CSBS’ department Explain indexing, hashing, and optimization (use the intro above). 🧱 Table Creation and Data Insertion (Include screenshot of all students.) 🌳 B-Tree Index on Roll Number (Include query + EXPLAIN screenshot.) 🌲 B+ Tree Index on CGPA (Show query + EXPLAIN output for cgpa > 8.0.) 🧩 Hash Index on Department (Show query + EXPLAIN output for ‘CSBS’ department.) ⚙️ Query Optimization Mention how indexes reduce the time for searching records. 🏁 Conclusion Indexes and hashing make data retrieval much faster and efficient by avoiding full table scans.  ( 7 min )

Manage all your SSH servers with one click, right inside Terminator. If you’re a Linux user who lives inside the Terminator terminal emulator, you already know how powerful it is. Split panes, tabs, layouts — Terminator has it all. But what about managing SSH connections? Typing SSH commands manually or juggling dozens of server configs quickly becomes painful. That’s why I built Terminator SSH Manager — a simple, native plugin that brings SSH connection management directly into your terminal. ⚡ Terminator SSH Manager is a lightweight plugin written in Python + GTK3 that lets you save, organize, and connect to your SSH servers — without leaving Terminator. It blends seamlessly with the Adwaita GTK theme, so it looks and feels like a natural part of your terminal. 🔐 Multiple Authentic…  ( 7 min )

Viktor Orbán, one of Europe's most contentious political figures, has shaped Hungarian politics profoundly over the past quarter-century. As Hungary’s prime minister for multiple terms since 1998, Orbán’s leadership has not only transformed his nation but also influenced global debates on democracy, nationalism, and governance. The name Viktor Orbán resonates far beyond Hungary’s borders, representing a complex blend of political resilience, nationalist rhetoric, and a controversial approach to democracy known as "illiberalism." This blog explores the multifaceted career of Viktor Orbán, dissecting his rise, political ideology, policies, and the broader implications for Hungary and the international community. Viktor Orbán’s journey into politics began in the waning years of Communist rule…  ( 8 min )

Choosing the right AI development platform is a high-stakes decision. You're not just picking a tool; you're betting on an ecosystem that will define your team's velocity, scalability, and ability to innovate. Two of the biggest names in the enterprise space are MichaelAI and CogniFlow. Both are powerful, but they are built on fundamentally different philosophies. This isn't another marketing fluff piece. We're going deep, code and all, to give you a feature-by-feature breakdown from a developer's perspective. Let's settle the debate and figure out which platform is the right choice for your next project. Before we dive into features, it's crucial to understand the core design philosophy of each platform. MichaelAI is built with an API-first approach. Every feature, from data ingestion to …  ( 9 min )

⚡ Transforming APIs into Kubernetes-Native Citizens The power of Kubernetes lies in its unified control plane and its resource model. But what if you could make any of your existing APIs or services behave like a native Kubernetes resource—complete with kubectl compatibility, cluster-level governance, and seamless integration? Developing extensions via the Kubernetes Aggregation Layer has traditionally been a highly complex task, demanding deep knowledge of internal API structures, serialization, and resource handling. This steep learning curve often prevents developers from extending Kubernetes as much as they'd like. This post introduces the kubernetes-aggregator-framework, an open-source tool designed to drastically simplify this process. We'll show you how this framework hides the co…  ( 10 min )

Every ML system is like a spacecraft — powerful, intricate, and temperamental. The CRAG (Comprehensive RAG Benchmark) from Meta AI is the control panel for Retrieval-Augmented Generation systems. As is often the case with research projects, CRAG required engineering adaptation to operate reliably in a modern environment: 🧰 I wanted to bring CRAG to a state where it could be launched with a single command — no dependency chaos, no manual fixes. 👉 github.com/astronaut27/CRAG_with_Docker In the original build, several issues made CRAG difficult to run: 🔧 Conflicting library versions; 📦 An incorrect PYTHONPATH broke the mock-API launch; ⚙️ No unified, reproducible start-up workflow. Now, everything comes to life with a single command: docker-compose up --build After building, two containe…  ( 8 min )

Rediscover interactive storytelling in the age of AI. Long before games had graphics, imagination did all the rendering. Players typed things like open door, look north, or take lantern, and the computer responded with text. That was enough to create entire worlds. These were the classic text adventures — interactive fiction where the story unfolded through conversation. With ChatGPT, this form of storytelling is reborn. You can now play through worlds that don’t need predefined verbs or rigid parsers. You can simply talk: “I shine the flashlight into the dark corridor and listen for movement.” And ChatGPT will respond naturally, adapting to your intent, describing what you see, and evolving the story dynamically. Every playthrough is different — and the world exists only between you and t…  ( 7 min )

Another framework? Yes. Another abstraction layer that hates your cache and your startup time? No. DotCompute’s first release candidate is ready. It gives you GPU and CPU acceleration from C# with: One kernel definition → multiple backends (CPU SIMD, CUDA, Metal, OpenCL) Native AOT-first design for .NET 9+ Modern C# API using [Kernel] attributes and source generators Automatic backend selection based on data size and available hardware If you’re a .NET dev who wants to use the GPU without writing a second language (or giving up AOT), this is for you. DotCompute is a universal compute framework for .NET 9+: you write kernels in C#, mark them with [Kernel], and let the runtime decide whether to run them on CPU (AVX2/AVX512), CUDA, Metal or fallback CPU. The compiler pipeline is built aroun…  ( 8 min )

In modern software development, efficiency and quality go hand in hand. As developers race to build smarter, faster, and more scalable applications, maintaining clean, original, and reliable code has become increasingly challenging. With the rise of AI-assisted coding tools, the line between human-written and AI-generated code is becoming blurred. While AI can speed up development, it can also introduce inconsistencies, security risks, or non-compliant code. This is where code AI detector solutions have begun to play a crucial role. These intelligent systems help teams identify, verify, and manage AI-generated code within projects, ensuring that productivity gains do not come at the cost of quality or integrity. In this case study, we’ll explore how organizations are leveraging AI code det…  ( 9 min )

As someone who has gone through the emotional turmoil you are currently experiencing when it comes to building your react native projects to a desktop app, I totally understand your frustration, and because I've been in that position at one point in my life and made it out, I'm telling you, you will too, so just stick with me. Now popularly React Native is popularly known for mobile development as it is a framework for React, which is a web development tool. Here comes the huddle using react native to build a Windows desktop (.exe or MSI) app. React Native has a broader library, which is "React native for Windows", which is basically for building desktop apps, but as you can testify to it, just like I did, the documentation is a little too thin, leaving us with more questions and confusion…  ( 11 min )

# PWA Power-Up: What Progressive Web Apps Will Do for You in 2025 Ever been frustrated with an app that takes up too much storage or a website that's slow and clunky on your phone? You're not alone! As mobile usage continues to skyrocket, the demand for seamless and efficient online experiences is growing. Progressive Web Apps (PWAs) are stepping up to answer that call, and they're poised to become even more powerful by 2025. Why Should You Care About PWAs? PWAs are essentially websites that act like native apps. They offer the best of both worlds: the discoverability and accessibility of the web combined with the engaging features of a mobile app. This means: Faster loading times: PWAs are designed to be incredibly fast, even on slow connections. Offline access: Key content and func…  ( 8 min )

A few months ago, I asked a colleague — “Can you pull all customer orders over ₹100 000 from the last year, group them by region and send me the top five?” In a traditional world, that request would mean a hand-written SQL query, back-and-forth with data engineering, debugging joins and checking column names. But thanks to Generative AI tools, I typed that same sentence into a chat interface — and within seconds got a working SQL query and result set. The shift isn’t just neat—it’s game-changing. Today, organizations are using AI to translate natural language into SQL, automate complex queries and open data access to wider teams. This article will walk you through how text-to-SQL works, real-world examples of adoption, my own lessons, and what this means for you — whether you’re a develope…  ( 9 min )

💬 Introduction In Angular, displaying validation errors in a form can quickly become repetitive and verbose. It is to simplify this part that I have developed a small library: ng-input-validation, which centralizes and automates the display of error messages in an elegant and reusable way. In this post, I show you how I used to do it and how I do it today 👇 Before, for each form field, it was necessary to write several conditions to display the error messages: 👉 Result: a lot of repetitive code to maintain, especially when you have multiple fields. ng-input-validation With ng-input-validation, everything is managed automatically from the FormControl. And your FormGroup : Where before it was necessary to write several @if, today a single line is enough. The component automatically displays the correct error message according to the type of validation (required, email, minLength, etc.). You can also manage backend errors or add custom messages for each type of error. npm i ng-input-validation And don’t forget to import it into the Angular component. This library allowed me to: Save time on form management; Keep a cleaner and maintainable code; Standardize error messages in all my Angular applications. 👉 The project is open-source on npm: https://www.npmjs.com/package/ng-input-validation  ( 6 min )

Introduction AWS S3 Vectors promises "billions of vectors with sub-second queries" and up to 90% cost savings over traditional vector databases. These claims sound good on paper, but implementation details matter. How does performance actually scale? What's the accuracy trade-off? Are there operational gotchas? This post presents empirical benchmarks testing S3 Vectors from 10,000 to 10 million vectors, comparing performance and accuracy against FAISS and NMSLib. All code used boto3 on us-east-1, measuring real-world query latency including network overhead. S3 Vectors is AWS's managed vector search service that stores and queries vector embeddings directly in S3. Key characteristics: Native S3 integration with standard durability/availability guarantees Maximum 50 million vectors per in…  ( 11 min )

As a branch of AI, machine learning refers to a computer's or program's ability to learn from experience and execute complex tasks, like how humans solve problems. Among the best languages for machine learning, Java stands out. Text processing, sentiment analysis, and other ML solutions' natural language skills can be greatly enhanced with the help of the correct Java NLP frameworks and tools for language-focused applications. In this article, we look at some of the top Java libraries that may assist you in developing machine learning solutions. Machine learning libraries in Java provide developers with pre-written algorithms and tools to construct machine learning models. This type of library saves a lot of time and effort since it processes data, trains models, and then provides predicti…  ( 11 min )

A global bank processes millions of documents every month — from loan forms and KYC files to invoices and compliance reports. This is exactly why financial institutions are turning to AI-driven Intelligent Document Processing (IDP) — a smarter way to handle data, speed up operations, and stay compliant. Unlike traditional OCR tools, AI-based IDP doesn’t just read text — it understands it. From onboarding to audit trails, IDP streamlines document-heavy processes across the financial ecosystem. KYC Automation: Instantly verify customer identities and documents. Loan Processing: Accelerate credit approvals by extracting and validating financial data. Invoice Management: Match invoices with transactions for real-time reconciliation. Regulatory Reporting: Automatically generate accurate, compliant audit records. Fraud Detection: Identify anomalies or tampered documents with AI-based checks. ✅ 90% reduction in manual effort AI-driven IDP is not just about automating paperwork — it’s about turning documents into insights. As financial data continues to expand, AI will be the invisible engine driving speed, compliance, and intelligence across every document workflow.  ( 6 min )

Frontend development is evolving faster than ever. If you’re building apps, dashboards, or SaaS platforms, choosing between React, Next.js, and Vue isn’t just about syntax. It’s about scalability, performance, and ecosystem support. So, which one actually wins in 2025? Let’s break it down. React in 2025: Still the Powerhouse React remains the foundation for modern frontend development with 80% of enterprise teams still using it directly or via Next.js. Why it still dominates: Massive community and library ecosystem Seamless TypeScript support Continues to evolve with React Server Components Excellent for building shared design systems But watch out for: Requires extra setup for routing, SSR, and SEO Can feel “barebones” without additional libraries Steeper learning curve for stat…  ( 7 min )

Introduction When we talk about reference counting, everyone remembers one pain point: cyclic references. a.link = b b.link = a del a del b # ...but the memory is still allocated Interpreters like CPython solve this with an additional “cycle collector” (cycle GC), but this is a different system, with graph traversal, unpredictable pauses, and additional overhead. The idea is simple: refcount of those it pointed to. The problem with classic reference counting is that the model assumes the following structure: class Object: def __init__(self, name): self.refcount = 1 self.ref = None self.name = name def link(self, ref): if self.ref != ref: self.ref = ref ref.refcount += 1 def rc_dec(self): self.refcount -= 1 …  ( 9 min )

Sean and Amanda are back, moving along in their yearlong countdown of the 21st century’s greatest films, landing at the mind-bending David Lynch classic Mulholland Drive. They gush over Naomi Watts’s breakthrough turn, dissect every conspiracy-fueled interpretation and marvel at how Lynch mash-ups Americana, dashes of European surrealism, old-Hollywood glam and off-kilter outsider art into one unforgettable trip. This episode, produced by Jack Sanders, also squeezes in a shout-out to State Farm’s Personal Price Plan and a friendly nudge to subscribe to The Ringer channels for more movie nerding. Watch on YouTube  ( 6 min )

Everything Wrong With Sinners In 15 Minutes Or Less takes one of the year’s most beloved genre films and gleefully rips it apart with snarky “sins,” Halloween vibes included. It’s a rapid-fire roast that proves you can lampoon even the greatest movies—just add cinematic nitpicks and a healthy dose of sarcasm. Along the way, CinemaSins shouts out its YouTube network (@TVSins, @CommercialSins, CinemaSins Podcast), social media hangouts (Discord, Reddit, TikTok, Instagram), a fan poll, Patreon support, and even Jeremy’s new book—because fans who love the jokes might as well join the sinfest. Watch on YouTube  ( 6 min )

Cinema Sins is back on the hunt with Predator: Killer of Killers, giving the animated entry their signature “Everything Wrong With…” roast in just 16 minutes. They gleefully tear into every trope and misstep, celebrating the Predator universe while pointing out all the little (and big) sins. Of course, it’s also a big promo—expect plugs for their website, Linktree, sinful poll, Patreon, and a shout-out to the dream team of writers. Plus, they drop links to Discord, Reddit, Instagram, TikTok and all their other channels to keep your sinning addiction fully fueled. Watch on YouTube  ( 6 min )

Predator 2 – Caravan of Garbage TL;DR Predator 2 dropped Arnie and the jungle for Danny Glover, a sweltering, crime-ridden L.A. and an even deadlier Predator—proving the sequel was inevitable after the first film’s huge success. It might lack some original charms, but if you’re cool with a new setting, gritty vibes and a side of Gary Busey, it’s a fun, fresh ride. Watch on YouTube  ( 6 min )

OpenAI is quietly making one of the biggest infrastructure moves in tech history. After ending its exclusive cloud partnership with Microsoft, the company is now placing massive, multi-year bets across three hyperscalers: $250B to Microsoft $300B to Oracle $38B to AWS Total: $588 billion dedicated purely to cloud and compute. This is the largest AI infrastructure investment ever made by a single company. And the most important part? This investment isn’t about future AI models. It’s required just to run the workloads of today’s ChatGPT. Sam Altman said it best: “Scaling frontier AI requires massive, reliable compute.” This isn’t a generic cloud contract. The AWS deal alone includes: Hundreds of thousands of NVIDIA GPUs Including the GB200 and GB300 families Access to tens of mi…  ( 9 min )

If you want clients to sign a contract and pay right away inside your WordPress workflow, this setup shows exactly how to achieve a seamless WordPress DocuSign Stripe integration. This guide outlines how a custom plugin connects DocuSign for e-signatures and Stripe for payments. When the client signs, they're instantly redirected to a secure checkout page – no manual steps, no chasing invoices. The integration is built around two core classes: Plugin_DocuSign_Contract – e-signature engine Plugin_Stripe_Processor – payment handler The structure follows the WordPress Plugin Boilerplate for clear separation between admin, public, and core logic, essential for robust WordPress DocuSign Stripe integration. my-wp-plugin/ ├── my-wp-plugin.php ├── includes/ │ ├── class-main.php │ ├── class-loa…  ( 11 min )

We are welcoming you to our weekly digest! Here, we discuss the latest trends and advancements in account abstraction, chain abstraction and everything related, as well as bring some insights from Etherspot’s kitchen. The latest news we'll cover: Ethereum Gas Fees Drift Toward 2 Cents as Usage Stays High EIP-7702 Infra X Space: Public Mempool, EOAs, and the Road to Ethereum Native AA Japan Meets AA with JPYC-Powered Gasless UX Can Fusaka Keep Users on L2 if Fees Drop Another 60%? Vitalik on Ethereum’s Possible Futures (VI): The Splurge Please fasten your belts! Coinglass reports that average Ethereum gas fees have recently fallen to around two cents per transaction while daily transaction counts hover near 1.6 million. The combination of cheaper blockspace and sustained activity suggests t…  ( 11 min )

Three weeks ago, on October 15th, I hit publish on Liquidcode v2. After months of pivoting (read about that journey), I finally had something I believed in. A platform where frontend developers compete 1v1, the community votes, and your rank actually means something. I announced it on Dev.to and then... I waited. You know that feeling when you ship something? Equal parts pride and panic? Pride because holy shit, I actually finished something. As developers, we start a million projects. We finish maybe three. This was one of the three. Panic because what if it's trash? What if nobody cares? What if I spent months building something the world doesn't want? The first two days were brutal. I kept opening the app, scrolling through it like a user would, then closing it. Refresh analytics. Check…  ( 8 min )

Why AI evaluation matters (and “vibes-based” QA fails) If you’re shipping LLM features, you’ve likely seen this: One prompt tweak fixes a niche case and silently breaks others. PMs ask, “Is this grounded?”, “Is it safe?”, “Why did JSON fail again?” Manual review is fine for demos, but it collapses at scale. AI evaluation turns fuzzy expectations into repeatable tests: Groundedness / context adherence: outputs should stick to provided sources. Structure validations: JSON schema and function calling stay correct. Safety & guardrails: content moderation, refusal checks, prompt-injection detection. Behavior & tone: measure helpfulness, politeness, and resolution quality. This tutorial uses the Future-AGI SDK to get you from zero to defensible, automated AI evaluation fast. Start here → https:…  ( 6 min )

Because sometimes, the real challenge isn’t writing the code, it’s finding the perfect balance between portability and productivity. As a software engineer, I split my workflow across two worlds: MacBook Pro → my portable dev machine, where all my codebases live. Windows desktop → my home lab powerhouse, complete with multiple screens and a ton of processing muscle. When I’m out, the Mac keeps me agile; I can code anywhere. speed boost and screen-estate to research, debug, and test faster. But there was a catch. The app I run on my Mac is only accessible at: http://localhost:3000 To test it from my Windows workstation (on the same Wi-Fi network), I expose it to my local network by binding it to the Mac’s LAN IP: http://192.168.x.x:3000 That way, I can open the app from any device connect…  ( 8 min )

If you want to design stunning websites and make your web pages look modern, elegant, and user-friendly, then CSS (Cascading Style Sheets) is your best friend. HTML gives structure to a webpage, but CSS brings it to life with colors, layouts, animations, and style. In this tutorial, you’ll learn CSS fast — from the basics to advanced tips — all in one place. What Is CSS and Why Is It Important? CSS stands for Cascading Style Sheets. It’s the language that controls how HTML elements are displayed on a web page. In simple terms, HTML is the skeleton, and CSS is the skin, makeup, and outfit that make it look beautiful. With CSS, you can: Change colors, fonts, and spacing Arrange elements in layouts (like grids or flexboxes) Add transitions, effects, and animations Make your website responsi…  ( 8 min )

Introducing TokiForge: A Framework-Agnostic Design Token Engine with Runtime Theme Switching The Problem The pain points: Different solutions for each framework Theme switching requires reloads or rebuilds Inconsistent token management across projects Time wasted on setup and configuration The Solution: TokiForge We built TokiForge - a framework-agnostic design token and theming engine that works with React, Vue, Svelte, Angular, and any JavaScript framework. One tool, multiple frameworks, zero friction. What Makes TokiForge Different? Unlike framework-specific solutions, TokiForge's core works everywhere: typescript import { ThemeRuntime } from '@tokiforge/core'; const runtime = new ThemeRuntime({ themes: [ { name: 'light', tokens: lightTokens }, { name: 'dark', tokens: darkTok…  ( 8 min )

It was never there. And if it had been, I’d have dissolved it on day one. I run what some would call a software company. On paper, it's a complete organization with: a developer, an architect, a product owner, a DevOps engineer, and even a quality manager. In practice, all of that is me. And I have a dog who barks at every deployment — probably my only truly engaged stakeholder. Everyone says you need an agile team to build anything serious — a Scrum Master, a Product Owner, a few meetings to prove you exist. I considered playing all those roles myself — Scrum Master on Mondays, PO on Tuesdays, Agile Coach on Wednesdays… Then I realized: none of these roles ship code. So I never hired them. And since then… everything just works. No meetings. No ceremonies. Just code, decisions, and a bi…  ( 11 min )

💬 Introduction En Angular, afficher les erreurs de validation dans un formulaire peut vite devenir répétitif et verbeux. C’est pour simplifier cette partie que j’ai développé une petite librairie : ng-input-validation, qui centralise et automatise l’affichage des messages d’erreur de manière élégante et réutilisable. Dans ce post, je te montre comment je faisais avant et comment je le fais aujourd’hui 👇 Avant, pour chaque champ de formulaire, il fallait écrire plusieurs conditions pour afficher les messages d’erreur : 👉 Résultat : beaucoup de code répétitif à maintenir, surtout quand on a plusieurs champs. ng-input-validation Avec ng-input-validation, tout est géré automatiquement à partir du FormControl. Et ton FormGroup : Là où avant il fallait écrire plusieurs @if, aujourd’hui une seule ligne suffit. Le composant affiche automatiquement le bon message d’erreur selon le type de validation (required, email, minLength, etc.). Tu peux aussi gérer les erreurs backend ou ajouter des messages personnalisés pour chaque type d’erreur. npm i ng-input-validation Et n’oublie pas de l’importer dans composant Angular. Cette librairie m’a permis de : Gagner du temps sur la gestion des formulaires ; Garder un code plus propre et maintenable ; Uniformiser les messages d’erreur dans toutes mes applications Angular. 👉 Le projet est open-source sur npm : https://www.npmjs.com/package/ng-input-validation  ( 6 min )

A post by rndthts.dev  ( 6 min )

I am studying for my AWS certifications. Everyone said: "Learn networking first." So I dove into the OSI model. The concept clicked when I stopped trying to memorize layers and started understanding what problem each layer solves. The OSI model is not something you memorize. It provides a framework for understanding how data moves from your laptop to AWS servers and back. Here is what I wish someone told me on day one. Before we dive in, let me explain why networking is not just theory. You cannot configure AWS VPCs without understanding Layer 3 (IP addresses). You cannot write Security Group rules without understanding Layer 4 (ports). You cannot troubleshoot connectivity without understanding all 7 layers. When you run this Python code: import boto3 ec2 = boto3.client('ec2') response = …  ( 13 min )

Fun fact, I thought I had already written this post, but when I wanted to reference it, I found out that I didn't. In this post, I'd like to describe my approach when choosing a dependency. I'll first define what I mean by dependency in the context of this post. Then, I'll list a grid of several criteria to analyze possible dependencies with. A dependency is literally something your software depends on: infrastructure such as a filesystem or a database, network, etc. In the context of this post, however, I'd like to narrow the scope to a software dependency that you need to compile/run, i.e., a library. Different software stacks have different names for this library: Ruby calls it a gem Rust calls it a crate Python and Node.js call it a package Go calls it a module Maven/Gradle call it…  ( 11 min )

While testing my NativePHP Android application, I noticed that the back button / action wasn't behaving the way I would expect for a regular "native" application. I realised that it was behaving like a browser with it's history stack. If I navigated into sub-menus using the UI then started using the back button / action it would just take me back through my history instead of up the menu tree like a regular app would, so I thought I'd look into how to fix that behaviour. After a quick Google search, the answer ended up being a simple, single line change. By adding the following to your MainActivity.kt file, we can instead emit an event in JavaScript which can then be reacted to. webView.evaluateJavascript("window.dispatchEvent(new Event(\'native:backpressed\'))", null) Caution: If you ta…  ( 7 min )

Prolog: Ketika Copy-Paste Bukan Solusi 📖 Cerita Pembuka: Si Pelupa dan 1000 Undangan Ada seorang mahasiswa bernama Andi yang ditugaskan panitia acara kampus untuk mengirim email undangan ke 1000 peserta seminar. Andi mulai mengetik: Kirim email ke peserta1@gmail.com Kirim email ke peserta2@gmail.com Kirim email ke peserta3@gmail.com ... (997 email lagi) Setelah 3 jam dan baru selesai 50 email, Andi menyadari: "Pasti ada cara lebih baik!" Ngeri, kan? 😱 Nah, di sinilah algoritma perulangan hadir sebagai penyelamat! Algoritma perulangan (looping) adalah struktur kontrol yang memungkinkan kita mengeksekusi blok kode berulang kali tanpa harus menulis ulang kode yang sama. Perulangan ada di mana-mana dalam kehidupan kita: Rutinitas Pagi 🌅 SELAMA belum_sampai_kampus: …  ( 19 min )

In the heart of India's thriving tech hubs like Odisha, developers are redefining the future one line of code at a time. As the nation emerges as a global AI powerhouse, AI trends in software development are reshaping how we build, deploy, and innovate. With investments pouring in and the AI market poised for explosive growth, understanding these top AI trends in software development isn't optional, it's essential for staying ahead. Whether you're crafting fintech solutions in Mumbai or healthcare apps in Chennai, this guide unpacks theAI trends in software development that promise to boost productivity by up to 40%, bridge skill gaps, and unlock new revenue streams. We'll dive into actionable insights, real-world applications tailored to India's diverse landscape, and tips to implement th…  ( 10 min )

WTF is this: Machine Learning Operations (MLOps) Edition Ah, Machine Learning Operations (MLOps) - the term that's been buzzing around the tech world, leaving many of us wondering, "What the heck is that?" Well, wonder no more, folks! Today, we're diving into the world of MLOps, and I promise, by the end of this post, you'll be an honorary expert (or at least, you'll sound like one at your next dinner party). In simple terms, Machine Learning Operations, or MLOps, is like the project manager of the machine learning (ML) world. It's a set of practices and tools that help manage and streamline the process of building, deploying, and maintaining machine learning models. Think of it like a factory assembly line, but instead of producing cars, you're producing super-smart, AI-powered models t…  ( 11 min )

Introduction: The dependency hell If you've ever worked with AWS CDK or CloudFormation, chances are high you've stumbled into a familiar problem: stack dependencies One stack exports an output-value, another one imports it, you make a small innocent change and suddenly Boom 💥 Your deployment suddenly does not work anymore. Yeah, I've been there too lately, it's one of those moments where you realise how easy it is for tightly coupled stacks to create hidden deployment traps, circular dependencies, deadlocks, and redeploy nightmares. In this post, I'll walk you through an example of how to refactor your CDK code to make it more loosely coupled, reducing cross stack references and giving you more flexibility in deploying and evolving your infrastructure safely. Imagine following architect…  ( 9 min )

The original article is hosted on my website here, so for my first article, I'll keep it short, with step-by-step explanation. You can check the sample repository, or here is the full Dockerfile: FROM amazoncorretto:25-alpine-full AS build WORKDIR /usr/src/project ENV JAVA_VERSION=25 ENV APP_NAME=app.jar ENV DEPS_FILE=deps.info COPY pom.xml mvnw ./ COPY .mvn/ .mvn/ RUN chmod +x mvnw RUN ./mvnw dependency:go-offline COPY src/ src/ RUN ./mvnw clean package -DskipTests RUN jar xf target/${APP_NAME} RUN jdeps \ --ignore-missing-deps \ -q --recursive \ --multi-release ${JAVA_VERSION} \ --print-module-deps \ --class-path 'BOOT-INF/lib/*' \ target/${APP_NAME} > ${DEPS_FILE} RUN jlink \ --add-modules $(cat ${DEPS_FILE}),jdk.crypto.ec \ --strip-java-debu…  ( 8 min )

TL;DR Letting an LLM write runtime code feels powerful until you run it every weekday at 9:00. Small per-step errors compound across long workflows. We shifted code generation out of runtime and into the planning phase using a typed DSL, validated components, and MCP. The LLM plans and composes; a deterministic engine executes. Result: lower failure rates, bounded costs, and behavior teams can trust. We started the common way: the model wrote code on the fly to call tools. After months of tuning, reality intruded: 20%+ end-to-end failure rate Missing await Type mismatches Edge cases that crashed workflows The math hurts: if each step is 95% accurate, a 10-step job succeeds about 0.95^10 ≈ 59.87%. That is not usable for customer-facing operations. We moved generation from runtime to the …  ( 8 min )

A complete reference guide to all inter-process communication mechanisms for systems programmers Inter-Process Communication (IPC) is a fundamental concept in systems programming that enables independent processes to exchange data and coordinate their actions. In the era of multi-core processors and distributed systems, understanding IPC is critical for creating efficient, scalable, and reliable applications. In this reference guide, we'll explore all core IPC mechanisms, including their implementation in C++, performance characteristics, pitfalls, best practices, and platform-specific considerations. IPC (Inter-Process Communication) is the mechanism for data exchange between processes in an operating system. Why is IPC necessary? Processes in modern operating systems are isolated from ea…  ( 13 min )

AI's Role in Revolutionizing Team Dynamics In today's fast-paced and interconnected world, forming the right team can make or break a venture. Whether you're an entrepreneur launching a startup or a manager assembling a project team, the stakes are high. With the integration of AI and machine learning into the process, team formation is becoming more strategic and effective than ever. Traditionally, building a team relied heavily on gut instinct, networking, and sometimes a bit of luck. While these methods are valid, they often lack the precision needed in today's competitive landscape. Enter AI and machine learning, technologies that are not only transforming how we form teams but also how they collaborate. 1. Data-Driven Insights: AI systems can analyze vast datasets to identify patter…  ( 7 min )

Let’s be honest: onboarding new clients manually sucks. A few months ago, at Gonzo Digital Marketing Australia, I decided to fix this the developer way — through automation. Here’s what I did 👇 🧩 Step 1: Defined the Workflow Every client went through the same 5 steps — proposal → approval → payment → kickoff → reporting. ⚙️ Step 2: Integrated Everything When a client signs a proposal → they automatically receive a welcome email When payment is confirmed → our internal Slack gets a “New Project Live” message When onboarding is complete → GDrive folder & reports are auto-created No code. No hassle. Just time saved. 💡 Step 3: Why This Matters This small automation turned into a major productivity boost — cutting admin time by 70% and improving client satisfaction. If you run a digital marketing agency in Australia or handle multiple clients, this approach will change your workflow forever. 🏁 Final Thoughts We at Gonzo Digital Marketing Agency always look for smarter ways to work — not harder. 💬 Question for you: What’s one task in your workflow you’d love to automate next?  ( 6 min )

Cost optimisation. It’s important in all walks of life, whether you are looking after your household bills or your cloud environment. When we look at Azure there are tools and mechanisms that can help you monitor your costs, from Azure Advisor to Cost Alerts. Within this blog post we’ll look at some of the resources with the Azure FinOps toolkit that can be deployed to help keep a monitor of your costs. The Azure FinOps toolkit is a set of resources that can help you manage your Azure Costs and FinOps journey. There are alerts, workbooks and PowerBI reports that can be deployed. It is an open-source project that is maintained and owned by Microsoft but the community over the years has also contributed to it. There are two resources within the toolkit that I would recommend you look …  ( 9 min )

TL;DR CinemaSins just roasted (and celebrated) one of this year’s best genre flicks in a speedy “Everything Wrong With Sinners In 15 Minutes Or Less” Halloween special—loading up on playful nitpicks while still admitting the movie totally rules. Want more sin-filled fun? Check out their website, socials, poll and Patreon to support the team, and say hi to the writers behind the laughs! Watch on YouTube  ( 6 min )

Everything Wrong With Predator: Killer of Killers in 16 Minutes or Less sees CinemaSins gleefully counting every plot hole, character quirk and franchise trope in the latest animated Predator outing. True to form, they roast the flick while celebrating the hunt, keeping the pace lightning-fast and the sin count merciless. Off-screen, CinemaSins plugs its ever-expanding network (@TVSins, @CommercialSins, CinemaSins Podcast), social hangouts (Discord, Reddit, Instagram, TikTok), a “sinful” fan poll, Patreon support and even Jeremy’s new book—proving no Predator goes unnoted (or unsinned). Watch on YouTube  ( 6 min )

Predator 2 takes the franchise out of the jungle and drops it into a sweltering, crime-ridden 1990s LA where Danny Glover squares off against an even deadlier Predator (plus a dash of Gary Busey chaos). It’s not Schwarzenegger swinging from vines, but if you’re up for neon-lit shoot-outs instead of machete slashes, it’s a surprisingly fun twist. This Caravan of Garbage review leans into the sequel’s quirks—heat waves, gritty cityscape and all—celebrating what makes Predator 2 its own kind of carnage-packed blast. Watch on YouTube  ( 6 min )

Learn How to manage Terraform Workspace and configure Multi-Environment Deployment. Welcome to the world of Cloud and Automation, Devs! Today, we’re going to explore one of the most powerful and widely used Infrastructure-as-Code (IaC) tools — Terraform. In this guide, we’ll learn how to use Terraform workspaces to manage multiple environments seamlessly — from Development to Staging and finally Production. By the end of this blog, you’ll not only understand how Terraform organizes infrastructure across environments but also see it in action through a hands-on demonstration — deploying a static website on Amazon S3 with three isolated environments. So, without further ado, let’s dive in and uncover how Terraform simplifies multi-environment deployments in the cloud. Before we jump into th…  ( 10 min )

Hey everyone 👋 I’m Shervin, the developer behind DigitalSecurity — an AI-powered cybersecurity app that helps people stay safe online 🛡️ Today I want to share 5 common mistakes that many people make when it comes to online security — and how to avoid them 🔒 It’s one of the biggest security risks! Always use strong, unique passwords for every website. 👉 Tip: use a password manager to keep them safe. Outdated software often has known vulnerabilities that hackers can exploit. Keep your system and apps updated regularly. Never click unknown links in emails, messages, or ads. Many phishing attacks start this way ⚠️ Free Wi-Fi networks are not safe! Avoid logging into important accounts while using them, or use a VPN instead. Even if you’re careful, threats can still happen. That’s why I built DigitalSecurity — an AI-based tool that detects and blocks online dangers in real time 🤖 👉 Check out the project here: https://github.com/shervinbaghervand33-del/DigitalSecurity Stay safe, stay smart, and protect your digital world 🌍 — Shervin  ( 6 min )

In the previous part of this series, we introduced the concept of message history and explored how agents in Pydantic AI can maintain conversational context across multiple interactions. In this part, we temporarily set aside message history and focus instead on a new concept in Pydantic AI: the Multi-Agent Pattern. This pattern allows us to design modular, cooperative AI systems that distribute responsibilities and work between agents to complete a task. The Multi-Agent Pattern is a design principle in which several agents cooperate to complete complex tasks. Each agent is responsible for a specific domain or capability, and together they form a distributed intelligence system. Pydantic AI supports several forms of multi-agent coordination, each designed for different control flow strateg…  ( 11 min )

(No, I am not gonna walk you through the labyrinth of self-validation and AI psychosis.) “Originally published on Medium — exploring AI mirroring and how we can leverage it.” Welcome Back, how have you been? How does it feel, now that you know you’re not as unique as you thought? That, even a machine can predict what you want to hear, and say that back to you? Do you feel “seen”, or “exposed”? Does your ego sting? “Mirror, Mirror on the screen, who is the fairest of them all?” I. Why Mirror: “theory of minds” with an eerie precision. We know, it lacks emotions, judgements, sense of right or wrong. We talk about how a machine can follow ethics, and uphold right from wrong. Yet, somehow, we believe, it can make us question our own perceptions. It makes us realize, all these are nothing …  ( 12 min )

When a system goes down, there are no headlines, no trending posts, and no public acknowledgment of the pressure inside the team. But anyone who has experienced a major production incident knows how intense a tech war room feels. There is no noise from the outside world. Just screens, dashboards, log traces, and people working under shared urgency: get the system back up. When production fails, every minute matters. The room fills (physically or virtually) with a defined set of roles: Engineers digging through logs and debugging failure chains Architects mapping dependencies and identifying root causes Product managers coordinating communication and expectations Support teams working to reduce user frustration Leadership holding the center and maintaining clarity There is no hero sp…  ( 7 min )

Introduction As modern enterprises grow, so does the demand for real-time, high-quality voice communication. In this post, we’ll explore five proven strategies developers use to scale FreeSWITCH systems for performance, stability, and future growth. Instead of depending on a single large server, distribute your FreeSWITCH instances across multiple nodes. Tip: Implement health checks so the load balancer can dynamically reroute SIP traffic if a node goes down. Running FreeSWITCH on Docker or Kubernetes enables predictable scaling, simpler management, and faster deployment cycles. Kubernetes’ auto-scaling and self-healing capabilities are particularly effective for VoIP workloads. Media processing (RTP) is one of the most resource-intensive aspects of FreeSWITCH. Consider deploying dedicated media relays for handling conference calls and IVRs. As you scale horizontally, managing configs across multiple FreeSWITCH nodes becomes complex. Scalability isn’t just about adding servers — it’s about understanding performance trends. 🔍 Test call concurrency and media performance before production deployment. Scaling FreeSWITCH isn’t a one-time setup — it’s a continuous optimization process involving load balancing, automation, monitoring, and modularization. building a call center platform or a global communication solution, following these principles ensures your VoIP system remains stable, efficient, and ready for growth.  ( 7 min )

This is a first-person, hands-on writeup of how I experienced using Copilot coding agents today. I include examples, a gotcha I hit while using it, and a short checklist so you can try it in your repos. I started experimenting with Copilot coding agents because I wanted to scaffold a lot of things which IDE-based agents do not, and to see what an assistant could do for me (refactoring scaffolding, creating test harnesses, running quick migrations) and actually execute code in a prepared environment instead of just suggesting edits. Over the last few months I tested agents on various projects and refined a small set of rules that helped me experience the current possibilities of delegating tasks to an agent. Unlike traditional IDE-based agents, Copilot coding agents can perform a broader ra…  ( 10 min )

Water underpins $58 Trillion in economic value (WWF, 2021) yet attracts less than 1% of climate-tech investment (Geschwind, 2023)1. This mismatch is becoming untenable as climate change and population pressures intensify, turning water into a material supply chain risk. Drought-driven shipping limits at the Panama Canal and production halts in Taiwan and Arizona show that water is no longer peripheral, it is a core driver of long-term value and a rising ESG priority. Climate Change: Amplifying Water Stress Hotter global temperatures are: For investors, climate volatility compounds water scarcity, directly impacting agriculture, energy and urban infrastructure. Why Water Risk Matters for Investors AI’s Hidden Water Footprint Aral Sea: The Ripple Effects of Water Risk Social & Economic Conse…  ( 10 min )

A recent case involving a client’s WordPress website has brought attention to the growing issue of plugin compatibility and excessive add-on usage, according to web developer Asaaju Peter of Phemight Technologies. The client reported that the website no longer loaded properly and instead displayed multiple fatal errors across various pages. Upon investigation, it was discovered that the website had been built using Elementor and several Elementor-related add-ons installed in 2023. Meanwhile, the website had automatic updates enabled, which caused Elementor to update to the latest version while the outdated add-ons remained incompatible. This conflict led to the website’s functionality breaking entirely. According to Asaaju Peter, this situation is common among WordPress users who rely heavily on multiple third-party add-ons and do not perform version compatibility checks before updating. He emphasized that maintaining a WordPress website is not just about installation but also about ensuring stability, performance, and cautious management of plugin updates. He advised users to avoid unnecessary add-ons and disable auto-updates unless compatibility is confirmed. Phemight Technologies continues to offer website maintenance, troubleshooting, and optimization services to help businesses maintain reliable and secure online platforms.  ( 6 min )

1. Add modue of SFTP After adding module of SFTP, you'll see below maven dependency added in pom org.mule.connectors mule-sftp-connector 2.5.1 mule-plugin   2. Setup local sftp server by docker This section is omitted; please refer to the following article for details: install sftp server   3. Config sftp in yaml file yaml sftp: host: "127.0.0.1" port: "2222" username: "sftpuser" password: "123456" remotePath: "~/sftp"   4. Add SFTP in global element config properties Here's xml code of it:   5. Drag and drop an SFTP write processor and config it Here's xml code of it:   6. Use Bruno & FileZilla to verify the program Bruno FileZilla After requesting successfully in bruno, you'll see below result in FileZilla: Download the file from FileZilla, and the content of the file should be like this: { "ftpHost": "127.0.0.1", "ftpPort": 2222, "username": "sftpuser", "password": "sftppass", "remotePath": "/uploads", "fileName": "local-test.txt", "fileContent": "SGVsbG8gTG9jYWxTdG9yZSE=" }  ( 6 min )

Buy Me a Coffee☕ *Memo: My post explains a range (1). My post explains a range (2). My post explains a range (3). A range can be read by slicing as shown below: *Memo: Slicing can be done with one or more [start:end:step] in the range [start, end): start(Optional-Default:None-Type:int/NoneType): It's a start index(inclusive). If it's None, it's the 1st index. Don't use start=. end(Optional-Default:None-Type:int/NoneType): It's an end index(exclusive). If it's None, it's the range length. Don't use end=. step(Optional-Default:None-Type:int/NoneType): It's the interval of indices. If it's None, it's 1. It cannot be zero. Don't use end=. The [] with at least one : is slicing. start and end can be signed indices(zero and positive and negative indices). Error doesn't occur even if [sta…  ( 8 min )

I'll create a polished Halloween landing page for a fictional "SpookyFest" event with modern front-end techniques. Here's the complete solution:  ( 5 min )

Introduction: The Battle Against Credit Card Fraud Imagine this scenario: You're having a normal day when suddenly your phone buzzes. It's your bank asking if you just made a $1,500 purchase in another country. Your heart sinks. You check your wallet—your credit card is still there. Someone has stolen your card information and is trying to spend your money. This happens to millions every year, but thanks to modern credit card fraud detection systems, most attempts are stopped before any money is lost. Credit card fraud detection has evolved from manual reviews to advanced artificial intelligence systems that spot suspicious activity in milliseconds. In this guide, we'll explore how these systems work, why they're essential, and how companies like Labellerr AI are helping create smarter, …  ( 9 min )

Why Use rem Instead of px for Padding? /* Before */ padding: 24px 74px; /* After */ padding: 1.5rem 4.625rem; But this is one of those small shifts that has a big impact in modern CSS, especially when building scalable and accessible interfaces. rem Responds to User Accessibility Settings The rem unit is relative to the root font size (typically the browser default of 16px). px values do not scale → the layout becomes cramped and harder to read. rem values do scale → spacing and layout grow proportionally. This means a UI built with rem is more accessible and readable for all users. em? em values are relative to the element’s own font-size, which can lead to padding and spacing changing unexpectedly when typography changes. rem keeps spacing consistent, even if a component’s font size is adjusted. Feature rem (Recommended) em Relative to root font-size (html) ✅ Yes ❌ No Padding stays consistent when element font-size changes ✅ Yes ❌ No Ideal for layout spacing (padding, margin, gap) ✅ Yes ❌ No Works well in design systems & token scales ✅ Yes ❌ No Best for sizing elements relative to their own text ❌ No ✅ Yes Common use Global spacing & layout Inline elements that scale with text Switching from px to rem makes your UI: More readable More accessible More visually consistent Easier to maintain Better prepared for responsive layouts If you're building a modern design system or want your UI to scale gracefully across devices and accessibility settings, use rem for padding and layout spacing.  ( 6 min )

Halo semuanya. Aku dari Indonesia dan mau share tools konfigurasi Vim yang aku buat. Namanya VimConfig, ini bikin setup Vim jadi lebih gampang dan cepat, terutama kalau sering reinstall atau ganti device. Aku males setup Vim dari nol terus, apalagi kalau reinstall sistem. Jadi aku bikin tools ini buat otomatis setup semuanya. Develop-nya di Termux pake proot-distro, jadi mungkin ada case yang belum kepikiran buat sistem lain. vcfg tool - CLI tool buat manage plugin dan konfigurasi Modular - Konfigurasi per bahasa terpisah Auto backup - Config lama kamu otomatis di-backup ke ~/.config/vim.backup.{date} Multi-bahasa - Support JS/TS, Python, C/C++, Go, PHP, Bash Termux-friendly - Optimized buat mobile development curl -fsSL https://raw.githubusercontent.com/aidomx/vimconfig/main/install.sh …  ( 7 min )

1 jeecgboot官网以及开发手册 2 前端Vue2启动 3.1 启动过程 3.2 sql数据库安装 3.2.1 安装MYSQL5.7.20版本 3.2.2 安装MYSQL8.0.32版本 3.2.3 在cmd中修改root密码（针对mysql-8.0.32-winx64版本） 3.3 redis安装 3.3.1 安装教程 3.3.2 redis是什么 4.1 先检查数据库是否在线 4.1.1 问题描述 4.1.2 卸载并重装mysql-8.0.32-winx64版本 4.1.3 mysql-8.0.32-winx64卸载教程 4.2 再启动redis：【在cmd中输入： redis-server； 】 4.3 然后检查并更新前后端代码配置，并启动前后端代码； 4.4 登录系统； Table of contents generated with markdown-toc [tod] 1 jeecgboot官网以及开发手册   jeecgboot官网：JEECG官方网站 - 基于BPM的低代码开发平台 jeecgboot开发文档：Maven私服设置 · JeecgBoot 开发文档 · 看云 ant-design-vue官网：Ant Design of Vue - Ant Design Vue (antdv.com) ant-design-vue开发文档：简介 | Vue.js (vuejs.org) 语言学习：菜鸟教程 - 学的不仅是技术，更是梦想！ (runoob.com)   之前从jeecgboot官网Git下来了前后端，应该参照ERP项目进行了部分改动。详见GitLab如下： JeecgBootFrontVue2：https://gitlab.com/JackChen-Strong/jeecgbootfrontvue2 JeecgBootBack：http…  ( 7 min )

I got locked out of the GST portal for the third time because my password "didn't meet requirements." No explanation. Just "Invalid password." Speed. I wanted the tool to be: Fast to load (< 50KB total) Fast to build (2 weekends) Fast to run (real-time password checking) Adding React would add 130KB+ before I wrote a single line of code. For a single-page tool, that's overkill. The Tech Stack Frontend: Vanilla JavaScript + Tailwind CSS Styling: Tailwind CDN (for rapid prototyping) API: Have I Been Pwned (k-Anonymity model) Hosting: Vercel Source Control: GitHub Total bundle size: ~48KB (including Tailwind) const portalRequirements = { uidai: { minLength: 8, requiresUppercase: true, requiresLowercase: true, requiresNumber: true, requiresSpecial: true, }, gstn: { …  ( 10 min )

The core value of AI search tools is that they are fundamentally changing how we interact with information. Traditional search engines provide an "index," requiring users to click links, read, filter, and synthesize answers for themselves. AI search, however, attempts to bypass these intermediate steps by directly understanding complex user intent, integrating web information, and generating a relatively complete, ready-to-use "answer." This "answer-driven" experience is iterating rapidly, and many excellent products with different approaches have emerged. Each has its own focus and is suited for different needs. Perplexity AI: The Rigorous Answer Engine Perplexity AI is perhaps the product that best represents the "answer engine" model today. Its interface is extremely minimalist, center…  ( 9 min )

目录 1 仓库类型：gitlab 2 新建项目并推送到新的gitlab远程仓库中 3 从gitcode开源仓库（如jeecgboot）到gitlab官网上的私人仓库：直接用url 4 切换本地项目的远程仓库，并将本地项目push到新的Gitlab仓库中（即Gitlab仓库迁移） 4.1 场景举例 4.2 几种不同方法 4.2.1 方法一：在git bash here中进行命令行操作 4.2.2 方法二：在IDEA中操作 4.2.3 方法三：使用TortoiseGit 4.3 遇见的问题 4.3.1 问题描述 4.3.2 解决措施 5 对Git的个人理解 5.1 Git、小乌龟TortoiseGit的安装和中英文切换教程： 5.2 个人理解 6 可参考的Git学习资料 7 Git发版实操 7.1 发版方式分类 教程：Git 技能：如何把本地新项目推到远程空仓库_哔哩哔哩_bilibili 对jeecgboot开源项目进行本地改造后，推送至自己的Gitlab官网上的私人仓库。 ①教程：41-工具类_哔哩哔哩_bilibili ①教程：【Git教程】5-7 Git推送已有仓库到Gitee_哔哩哔哩_bilibili 采取上述方法后，在将代码push之前进行pull的时候，报如下错误：You are not currently on a branch.Please specify which branch you want to merge with.See git-pull(1) for details. 【特别注意：我的Gitlab官网上的私有仓库不是公开的，所以在push代码前最好是将Gitlab相应仓库设置为Public】 ①参考链接：Git常见问题解决办法 - 爱码网 ②解决步骤： ​ S1：打开问题项目的Git Bash here； ​ S2：输入： git checkout -b temp # 在工作区中创建并切换至temp分支； ​ S3：输入：git checkout # 切换回目标分支，我的是：git checkout main； Git、小乌龟TortoiseGit的安装和中英文切换tortoisegit切换语言公孙元二的博客-CSDN博客 Git（Git管理最全面的工具）： Git Bash here（Git的命令行界面，可以实现Git的全部操作） 上传本地文件（夹）到GitHub和更新仓库文件 - 知乎 git从安装到多账户操作一套搞定（一）入门使用 git从安装到多账户操作一套搞定（二）多账户使用 方式一：增量。示例：在gitlab上将commit从【代发版分支】（如dev）merge合并到【生产分支】（如prd），然后在【生产分支】上对commit发版，并merge commit。注：该示例中无需使用IDE。 方式二：全量。示例：将本地【代发版分支】（如dev）中的代码（最新）全量merge到本地【生产分支】（如prd），再将本地【生产分支】push到远端【生产分支】，从而全量发版。参考教程：(54条消息) vs Code合并分支vscode合并分支点点辰光的博客-CSDN博客  ( 6 min )

TL;DR: When I first faced a system design interview for a senior engineering role, the prompt was deceptively simple: Design a video conferencing system like Zoom. I thought, “How hard can it be?” Fast forward 3 hours of intense whiteboarding, network diagrams, and trade-off debates later — I realized designing a scalable, real-time, low-latency video platform is a beast. But through that struggle, I learned critical lessons that shaped my system design thinking. In this post, I’ll walk you through my experience designing a Zoom-like system, breaking down my approach, technical tradeoffs, and real-world strategies. Whether you're prepping for interviews or building collaboration tools, these 7 lessons will help you build robust, scalable video conferencing systems. At the start, I made the…  ( 9 min )

Removing backgrounds from a single image is easy. But removing backgrounds from hundreds or thousands of images in one go — and getting clean, consistent results — is a different challenge. That’s where AI batch background removal tools shine. Behind their speed and accuracy sits a powerful combo: cloud computing and GPU acceleration. Together, they turn heavy image processing tasks into smooth, scalable pipelines. This article breaks down how cloud and GPU acceleration optimise throughput and deliver fast, reliable background removal at scale — without drowning in compute bottlenecks. Throughput refers to how many images a system can process per second — a critical metric for performance. When you're processing: E-commerce product photos Model catalogs Bulk portrait shots Marketing asset …  ( 9 min )

Everything Wrong With Sinners In 15 Minutes Or Less CinemaSins is back to poke fun at what they call one of the greatest genre movies of the year, “Sinners,” in their signature rapid-fire sinning style—just in time for Halloween. Expect witty commentary and plenty of tongue-in-cheek nitpicking, even though they admit this flick rules. Aside from the video itself, they’re hyping up their whole Cinemasins universe: hit up their website, YouTube channels, Discord, Reddit, TikTok, Instagram, and more. You can weigh in via a sinful poll or support the team on Patreon, and don’t forget to follow the writers on Twitter and Instagram for behind-the-scenes fun. Watch on YouTube  ( 6 min )

TL;DR CinemaSins dives head-first into the Predator universe with “Everything Wrong With Predator: Killer of Killers In 16 Minutes Or Less,” playfully roasting the new animated flick in their signature sinning style. Expect witty quips, nitpicks and an all-around fun takedown of this Predator installment. They also shout out their other channels (TVSins, Commercial Sins, CinemaSins Podcast), plug a fan poll, Patreon support and all the socials—Discord, Reddit, Instagram, TikTok—and give props to their writers and Jeremy’s new book. Watch on YouTube  ( 6 min )

Predator 2 – Caravan of Garbage TL;DR Predator 2 ditches the jungle and Schwarzenegger for Danny Glover in a crime-ridden, heat-soaked 1990s L.A. where an even deadlier Predator is on the prowl. It’s not the same formula as the first movie, but with Gary Busey in the mix, it’s a fun, goofy ride if you’re up for a fresh twist. This “Caravan of Garbage” review dives into the sequel’s biggest swings and misses, then sends you off to BigSandwich.co for early videos, bonus podcasts, game streams, and all the hosts’ social links, merch drops, and Patreon perks. Watch on YouTube  ( 6 min )

For as long as we’ve been building with machines, we’ve followed one core rule: faster is better. Lower latency, higher throughput, less waiting; that was gospel. Nobody wanted to wait 600ms for a button to respond or watch a spinner that lasts longer than their attention span. If it was slow, it was broken. Case closed. So naturally, when AI tools started creeping into our dev workflows, autocomplete, agents, copilots, you name it, the same principle applied. Make it fast. Make it feel instant. Make it look like magic. But here’s the thing: AI isn’t magic. It’s inference. It’s pipelines and RAG and context and tool calls. It’s juggling messy context and probabilistic guesses. And if you want something smarter than glorified autocomplete, you need to build a pipeline of processes to provid…  ( 15 min )

PROJECT OVERVIEW This project demonstrates how to host a static website on Amazon S3, deliver it globally with CloudFront CDN, and automate deployments using GitHub Actions. ✅ Static website hosting on Amazon S3 ✅ CloudFront CDN for global fast delivery + HTTPS ✅ CI/CD pipeline with GitHub Actions (auto-deploy on push) ✅ Cache invalidation so updates are live instantly ✅ Secure Origin Access Control (OAC) → S3 is private, only CloudFront can access 🏗️ Architecture Workflow 🔹 Request Flow User → CloudFront (Edge Cache) → [If cache miss] → S3 Bucket → CloudFront → User Developer → GitHub Repo → GitHub Actions → S3 Bucket → CloudFront → End User Go to AWS S3 Console Create a bucket (region example: ap-south-1) Keep Block Public Access = ON Upload your static website files (index.html, CSS, JS, images, etc.) Open CloudFront Console → Create Distribution Origin = your S3 bucket Use Origin Access Control (OAC) (so only CloudFront can read from S3) Copy the CloudFront domain (e.g., d1234abcd.cloudfront.net) Go to GitHub Repo → Settings → Secrets and variables → Actions → New repository secret Add: AWS_ACCESS_KEY_ID AWS_SECRET_ACCESS_KEY 🌍 Access Your Website Default → (your CloudFront domain) Optional → Add Route 53 + ACM SSL to use a custom domain Add CloudWatch monitoring & logging Add Route 53 + SSL certificate for a custom domain Extend pipeline with tests before deployment By completing this project, I learned: How to use AWS S3 for static hosting How CloudFront works as a CDN with OAC How to build a CI/CD pipeline with GitHub Actions How to automate deployments and cache invalidations 🔗 Keywords: AWS, S3, CloudFront, GitHub Actions, CI/CD, DevOps, Cloud Github ⚡ Now, every time I push code to GitHub, my website auto-deploys to AWS with CloudFront CDN 🚀  ( 7 min )

The Value-Centric Philosophy of Rust Ever typed let a = 8; let a = 9; in Rust and wondered why it didn’t feel like “reassignment”? That moment reveals a core philosophy: **values are central, and variables are mere handles.** 1. Why Rust Feels Different Most programming languages—C, Java, Python—treat variables as containers. They store values, which you can freely replace: int a = 8; a = 9; // Replace content; 'a' persists Rust flips this view: Values exist independently. Variables are handles, not storage boxes. Operations are about who can access the value, not changing the variable itself. Key takeaway: Values are central; variables are temporary handles. 2. Values at the Center let a = 8; let a = 9; // Shadowing: new 'a' handles 9; old value 8 persists until scope ends Va…  ( 7 min )

Most IT leaders already understand that AI can make operations smarter. The challenge isn't the technology — it's the conversation. Convincing leadership to fund AI-driven IT means moving past buzzwords and showing clear, measurable business outcomes. 1 Shift the Conversation: From Cost to Capability Executives don't invest in savings — they invest in capability. AI-driven IT is not an add-on. It's a force multiplier that transforms what your IT function can deliver: Predictive resolution instead of reactive firefighting Enterprises using predictive AI in ITSM report 45% faster resolution times and 50% fewer escalations. Every hour saved in downtime protects both productivity and revenue flow. When you stop framing AI as a tool and start presenting it as a capability, leadership sees it fo…  ( 9 min )

Executive Summary AI email assistants are increasingly vulnerable to prompt injection—a subtle but potent attack vector where adversaries embed hidden instructions inside routine-looking emails. These manipulations bypass traditional security controls, leaving no trace in system logs. The result: unauthorized actions, silent data exfiltration, and compromised operational integrity. This whitepaper outlines a forensic-first defense framework, emphasizing timestamped logging, input isolation, and post-incident reconstruction. It closes with a tactical self-assessment checklist to evaluate system exposure. Prompt injection is the act of embedding adversarial instructions into content that an AI assistant will read and interpret. In the context of email, this often takes the form of: Hidden …  ( 9 min )

TL;DR The EU’s new Cyber Resilience Act (CRA) will change how WordPress agencies, plugin developers, and care-plan providers handle security, compliance, and updates. Here’s what it means for you, and what you need to do before 2027. You don’t need to know the full text of the EU’s Cyber Resilience Act to feel its presence. If you build or maintain WordPress software (with a commercial intent) and it’s used in the EU, this law most likely applies to you. The CRA expects you to know what dependencies your code includes. You’re expected to have a process in place when someone reports a vulnerability. You’re expected to separate security updates from everything else. And yes, if something gets exploited, you have a deadline for reporting it, just like every other digital product vendor in …  ( 13 min )

Over the past few weeks, I’ve been exploring a range of AI tools, testing them in real projects and integrating them into my daily workflow. My goal was simple: to see how far AI can truly go in helping developers build real, production-ready products. During this time, I used several of these tools to ship client projects, including a full web MVP built in just 30 days and an Android mobile app. Since I already had the UI designs, my main focus was turning them into fast, pixel-perfect frontends and integrating a solid backend behind them. Throughout that process, I tried dozens of AI tools for both frontend and backend tasks. In a space where every major company is experimenting with AI, I wanted to dig deeper and test tools that don’t just generate code but also understand design. In th…  ( 25 min )

Overview Singleton, is a one of most popular design pattern. The main purpose is to saving memory by reuse and sharing one instance rather than create a new one. It sounds like a great concept, but it could be a "Boomerang" if we implement that concept in the wrong case. Helo, i am Satria. Currently i'm working on Tech Company as a Software Engineer. In this article i will share about my experience in implementing Singleton Design Pattern in the wrong case. So, let's go. The Incident is started when i created an application to manage the budgeting system in our company. It is using PostgreSQL as a Database Management System. The application that i built is a part of Company's Super App. When I looked at the code in the Super App, i notice that everytime when we need to query to database…  ( 7 min )

Introduction Codeck is a portable, student-focused Linux workstation developed using the Raspberry Pi 5. It was designed to solve a common challenge in modern education — the lack of affordable and flexible computing tools for practical learning. Many students rely on laptops that are often costly and not lab-friendly, while microcontrollers like Arduino are too limited for multitasking or software development. Codeck bridges this gap by providing a compact yet powerful system capable of coding, research, hardware interfacing, and document creation — all in one portable device. Hardware Overview The heart of Codeck is the Raspberry Pi 5 (8GB), offering improved speed, graphics, and hardware control. It is paired with a 7-inch Waveshare HDMI display for clear visuals and a Frony Bluetooth m…  ( 9 min )

Hello Dev.to! I'm excited to announce the Alpha release of Selur, a project that fundamentally re-examines the relationship between HTML, CSS, and JavaScript. Selur is a Pure CSS UI Declaration Engine. It doesn't only give you components; but also the missing architectural layer that puts visual logic and stateful UI behavior back into CSS, where it always belonged. The original web contract was simple: But today, we often see JavaScript handling presentation (UI frameworks rendering DOM elements), CSS getting polluted with utility classes that mimic structural concerns, and HTML becoming generic, non-semantic containers. Selur re-establishes this contract by moving all UI interactivity and visual state management back to pure CSS, where it truly belongs. Selur isn't a component library; i…  ( 8 min )

Introduction Modern data engineering projects typically use Python for orchestration (Airflow DAGs), data transformation, and DBT or SQL for data ingestion. At scale, however, deployment becomes a significant bottleneck. My data engineering team manages ingestion for a data warehouse containing nearly 10,000 tables. We follow a standardized approach where each table requires at least 5 programs covering the standard pipeline: file ingestion → staging → transformation → ODS layer. This results in over 50,000 program files requiring deployment. Our Azure DevOps CI/CD pipeline was taking nearly 30 minutes per deployment — unacceptable for any development workflow. Having previously managed deployment pipelines for Java microservices with comprehensive test suites, this was excessive for our…  ( 9 min )

Building a LangGraph Multi-Agent System in 20 Minutes Overview In this post, we'll explore how to build a working multi-agent system with dynamic configuration using LangGraph multi-agent workflows, RAG search, and LaunchDarkly AI Configs. This is the first part of our series on "Chaos to Clarity: Defensible AI Systems That Deliver on Your Goals". A multi-agent system (MAS) is a computational paradigm where multiple agents interact with each other to achieve a common goal. In this context, an agent is an autonomous entity that perceives its environment and takes actions to affect it. LangGraph is a lightweight, open-source framework for building multi-agent systems. It provides a simple and intuitive API for defining workflows, which are the core of any MAS. A workflow in Lang…  ( 8 min )

Introduction Most resume builders haven’t evolved in a decade. At Skillinnovex Our mission was simple — Build the world’s first unlimited AI resume builder, 100% free, privacy-first, and powered by real innovation. The Problem with Traditional Resume Builders Let’s face it — most “free” resume platforms aren’t really free. They often: Force you to sign up before creating anything Limit your downloads or templates Store your personal data Charge for “premium access” just to export a PDF This system punishes creativity and slows down people who just want to build a resume that works. ⚡ The Skillinnovex Solution At Skillinnovex, we flipped the model. We built a resume generator that’s: ✅ Completely free — no hidden costs 🔄 Unlimited downloads — build as many resumes as you want 🧠 AI-assiste…  ( 7 min )

In the fast-paced world of artificial intelligence, building and maintaining an AI stack is no easy task. Decisions being made today affect the ability to innovate, scale, and provide trustworthy AI-based products directly. We are like any competent workman and rely on reliable tools. This paper focuses on the AI stack used in production that includes data ingestion to model deployment among others. It is necessary to understand the philosophy that guides our choices before moving into the complexity of particular tools. When considering and putting into the stack a new technology, we see several principles: User Experience in the Development Process: We believe that the best things to build on are the ones that our developers enthusiastically use. When a developer experience is positive, …  ( 9 min )

Apple Health MCP Server: Use Cases for Developers Apple Health stores years of health data from workouts, sleep tracking, heart rate measurements, and step counts. While this data is valuable for building personalized health applications, accessing it has always been challenging. Apple Health exports come as complex XML files that require significant parsing effort to use effectively. The Apple Health MCP Server is an open-source tool that implements the Model Context Protocol, providing a clean interface for accessing Apple Health data. It takes Apple Health XML exports, indexes them in DuckDB for fast querying, and exposes the data through tools that AI agents can use naturally. The server also supports Elasticsearch integration for advanced search capabilities. The server handles XML …  ( 8 min )

In the past few decades, customer service has evolved beyond the traditional phone calls and emails. Enter chatbots and conversational AI, two innovations that are quickly reshaping how businesses communicate with their customers. From answering simple queries to handling complex customer concerns, these tools are becoming indispensable in customer service development. But how did we get here? And more importantly, how are these technologies making a real difference in businesses’ ability to engage with customers? Let’s dive into the rise of chatbots and conversational AI, exploring how these tools are revolutionizing customer service, improving experiences, and even building brand loyalty. Chatbots are not a brand new concept. In fact, their roots trace back to the 1960s, when a program c…  ( 9 min )

Sean Fennessey and Amanda Dobbins dive back into their 25 Best Movies of the 21st Century countdown to spotlight David Lynch’s ‘Mulholland Drive’ at No. 6. They celebrate Naomi Watts’s breakout turn, unpack all the wild conspiracy theories and fan interpretations, and marvel at Lynch’s uncanny blend of dreamy Americana, European surrealism, classic Hollywood glitz and edgy outsider art. Whether you’re obsessed with your own theory or just along for the trippy ride, this chat proves why ‘Mulholland Drive’ remains one of the most mind-bending, glamorous and endlessly fascinating films of our time. Watch on YouTube  ( 6 min )

TL;DR CinemaSins just dropped “Everything Wrong With Sinners In 15 Minutes Or Less,” their Halloween sin-fest on what they call one of the year’s—and genre cinema’s—finest films. Expect the usual snarky countdown of “sins” sprinkled with cheeky commentary. They’ve also hooked you up with all their socials (website, YouTube channels, Twitter, Instagram, TikTok), a sinful poll, Discord and Reddit communities, plus a Patreon pitch to keep the lights on for more cinematic roasts. Watch on YouTube  ( 6 min )

Everything Wrong With Predator: Killer of Killers In 16 Minutes Or Less CinemaSins just unleashed a rapid-fire, 16-minute sin count on the animated Predator flick Killer of Killers, poking fun at every plot hole, design quirk, and questionable decision in the Predator universe. They’ve also dropped a link tree full of goodies—YouTube channels (TVSins, CommercialSins, CinemaSins Podcast), social media handles, a poll to get your feedback, and a Patreon pitch—plus a full roll call of their writers (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel) so you can stalk them on Twitter and Insta. Watch on YouTube  ( 6 min )

When your SQL queries start slowing down, one of the first solutions that comes to mind is adding an index. But while indexes can dramatically speed up data scans and searches, they can also slow down data mutations like INSERT, UPDATE, and DELETE. In this article, we’ll break down how indexes work, why they matter, and when you should (or shouldn’t) use them — all with practical SQL examples. An index in a database is similar to an index in a book — it helps you find specific information faster. Instead of scanning the entire table row by row, the database engine uses the index to jump directly to the relevant data. Indexes are typically implemented using B-trees, which allow the database to quickly scan and retrieve the desired rows with logarithmic complexity instead of linear. When y…  ( 7 min )

Originally published at https://www.nocobase.com/en/blog/weekly-updates-20251106 Summarize the weekly product update logs, and the latest releases can be checked on our blog. NocoBase is currently updated with three branches: main , next and develop. main：The most stable version to date, recommended for installation; next：Beta version, contains upcoming new features and has been preliminarily tested. There might be some known or unknown issues. It's mainly for test users to collect feedback and optimize functions further. Ideal for test users who want to experience new features early and give feedback; develop：Alpha version, contains the latest feature code, may be incomplete or unstable, mainly for internal dev and rapid iteration. Suited for tech users interested in product's cutting-ed…  ( 11 min )

Originally published at https://www.nocobase.com/en/blog/weekly-updates-20251106 Summarize the weekly product update logs, and the latest releases can be checked on our blog. NocoBase is currently updated with three branches: main , next and develop. main：The most stable version to date, recommended for installation; next：Beta version, contains upcoming new features and has been preliminarily tested. There might be some known or unknown issues. It's mainly for test users to collect feedback and optimize functions further. Ideal for test users who want to experience new features early and give feedback; develop：Alpha version, contains the latest feature code, may be incomplete or unstable, mainly for internal dev and rapid iteration. Suited for tech users interested in product's cutting-ed…  ( 11 min )

Most backend frameworks today are built on foundations from a different era. Express sits on Node.js HTTP. NestJS sits on Express. Each layer adds abstraction, dependencies, and constraints. What if we started fresh? YasuiJS is a new TypeScript framework for building REST APIs, built on Web Standards from day one. No Express underneath. No Node.js HTTP layer. Just the Fetch API, Web Standards Request/Response, and a lightweight server adapter (srvx) that works across runtimes. The result? A framework that runs anywhere—Node.js, Deno, Bun, Cloudflare Workers, Vercel Edge—with the elegant decorator-driven DX you'd expect from modern frameworks, but without the bloat. Here's what it looks like: @Controller('/api/users') export class UserController { constructor(private userService: UserServ…  ( 10 min )

@mark: simply by removing implementation 'androidx.navigation:navigation-ui:2.9.5' this is a pure java xml project. no Kotlin, no Jetpack Compose. this is a hello world level project. I didnt even use the navigation-ui in my project, I just added the dependency in gradle. im not talking about the time to transition from one page to another -- not inflation of a fragment. long startTime = System.nanoTime(); View itemView = inflater.inflate(layoutRes, container, false); long bindingInflateDoneTime = System.nanoTime(); as I switch back to my normal complex project. Note: this is not a thorough test, nor a formal benchmark. more sample code for a better context: for (int i = 0; i < count; i++) { long startTime = System.nanoTime(); …  ( 7 min )

Introduction AI infrastructure and automation now power business strategy and scale. Companies pour billions into data centers and GPUs because raw compute defines competitive edge. As a result, organizations redesign operations, networks, and energy plans to host large models. The rise of massive GPU farms reshaped how teams train models and ship features. However, this rapid evolution raises hard questions about electricity limits, labor dislocation, and geopolitics. The stakes span grid capacity, capital expenditures, supply chains, and local jobs. Therefore, leaders must weigh technical gains against social and environmental costs. This article maps spending trends, data center footprints, and automation impacts, and it outlines practical steps for responsible scaling. Along the way,…  ( 17 min )

Hey devs! Diving into differential signaling for clean data over noisy lines? Think RS-422/RS-485. Today: the 100314QI, onsemi's low-power five-channel differential line receiver IC (ex-Fairchild). Ideal for battery-powered IoT where reliability meets efficiency. In 2025's edge computing boom, it revives legacy protocols with modern MCUs. ESD-protected, 3V operation, up to 10Mbps/channel—in a tiny QFN-20. Ditch bulky transceivers. Arduino Uno/Nano. ASCII schematic: // 100314QI Receiver Sketch volatile bool states[5] = {false}; void setup() { Serial.begin(9600); for (int i = 0; i < 5; i++) pinMode(2 + i, INPUT); Serial.println("100314QI Online"); } void loop() { bool changed = false; for (int i = 0; i < 5; i++) { bool newState = digitalRead(2 + i); if (newState != states[i]) { states[i] = newState; changed = true; Serial.print("Ch "); Serial.print(i+1); Serial.print(": "); Serial.println(newState ? "HIGH" : "LOW"); } } delay(changed ? 10 : 100); } Simulate with a generator; Serial Monitor shows transitions. For speed, add interrupts. #define EN_PIN 7 pinMode(EN_PIN, OUTPUT); digitalWrite(EN_PIN, HIGH); Quick LTSpice Sim: Noise Test * 100314QI Sim V1 A 0 SIN(0 1 1k) V2 B 0 SIN(0 -1 1k) Rnoise A B 1k XU1 A B VCC GND OUT MODEL .tran 0 10m 0 1u .end Clean outputs at OUT. <1% error at 5Mbps. Isolate ground loops with optos. Bulletproof interfaces, no bloat. Your fave diff IC? Comment or fork GitHub!  ( 7 min )

Read the original article：Practical Guide: Mastering Custom Gaussian Blur Pop-ups in HarmonyOS Preface Feature Demonstration Complete Solution 1. Data Structure Definition 2. Core Technology Analysis Precise Positioning Technology Additional Knowledge Points Gaussian Blur Effect Visual Design Concept 3. Usage Guide Summary and Outlook Preface Hello everyone, I am Ruocheng. This series is dedicated to helping developers quickly implement commonly used features in HarmonyOS apps, providing ready-to-use code examples. While previous articles mainly focused on functional implementation at the application level, this time we will shift our perspective to the essence of UI interaction design — a complete solution for creating a custom Gaussian blur pop-up. Without further a…  ( 8 min )

Introduction The modern internet is under constant attack. From SQL injection attempts to bot-driven credential stuffing and large-scale scraping, websites today face a relentless stream of threats. To defend against these evolving attacks, Web Application Firewalls (WAFs) have become a cornerstone of web security infrastructure. Traditionally, organizations have relied on cloud-based WAFs such as Cloudflare, AWS WAF, or Akamai. These solutions are easy to deploy but often come with limitations in customization, data privacy, and long-term cost. For organizations and developers who value control, transparency, and independence, self-hosted WAFs present a compelling alternative. Among the new generation of self-hosted WAFs, SafeLine stands out. Developed by Chaitin Tech, SafeLine combines…  ( 9 min )

Laravel Log Cleaner v2.0 - Memory-Efficient Log Management The Problem 🔥 We've all been there: your Laravel app runs fine for weeks, then suddenly your server runs out of disk space. You SSH in, check the logs folder, and find a 5GB laravel.log file. Sound familiar? Log files can grow out of control fast, especially in production. But clearing them manually is risky, and heavy monitoring tools like Telescope can slow down your app or even crash your server. I built Laravel Log Cleaner to solve this exact problem. Version 2.0 just launched with major improvements: 🧠 Memory-efficient processing - handles multi-GB files without crashing 📦 Compression support - archive old logs instead of deleting 🔒 Backup creation - never lose important data 🎯 Log level filtering - keep only…  ( 10 min )

Quick summary: How I built a production-grade full-stack app with ultra-fast startup and superior memory efficiency (20.72MiB backend + 2.625MiB frontend = ~23MiB total at startup) using Quarkus Native Image - 58% better than Spring Boot Native! Traditional Java applications are notorious for their slow startup times. A typical Java application can take 3-5 seconds to start, which becomes a significant bottleneck in: Microservices architectures where you need rapid scaling Serverless environments where cold starts matter Development workflows where you restart frequently Cloud deployments where startup time affects user experience Enter Quarkus - the Supersonic Subatomic Java framework designed for cloud-native applications, combined with GraalVM Native Image - a technology that compiles J…  ( 13 min )

Introduction What You'll Learn How to create private Azure storage for internal documents How to configure geo-redundancy for high availability How to share a file securely with a partner How to set up a backup for public website content How to implement lifecycle rules to reduce storage costs Architecture Overview One Storage Account with Geo-redundant Storage (GRS) Two Blob Containers: private for internal documents backup for public website replication Note: These instruction require you to have completed the lab in my previous post - Building a High-Availability Azure Blob Storage for a Public Website. Skilling tasks Create a storage account for the company private documents. Configure redundancy for the storage account. Configure a shared access signature so partners have restricted …  ( 8 min )

When building a rendering workstation, many artists and designers assume that adding more GPUs will automatically multiply rendering performance. While this is true for many offline render engines like Redshift, Octane or Blender Cycles, not all 3D software can take advantage of multiple GPUs. In fact, some popular real-time rendering tools are still limited to a single GPU, which often surprises users who have invested heavily in multi-GPU setups. In this article, we will look at several widely used 3D visualization tools that only render on one GPU, explore why a single GPU is enough or sometimes necessary for their workflows and find the suitable software for your projects. For offline render engines such as V-Ray, Redshift, or Octane, multi-GPU rendering is a game changer. By distribu…  ( 10 min )

If you’ve been learning Python for a while, you’re probably familiar with for and while loops. They’re the backbone of iteration — letting you repeat actions efficiently. But here’s a twist that often surprises beginners: Python allows you to use an else block with loops. Wait… an else block? With loops? That’s right! In Python, the else clause isn’t just for if statements — it can also appear after a for or while loop. And when used correctly, it can make your code cleaner, more expressive, and even more Pythonic. Let’s dive deep into how it works, when to use it, and how to avoid common pitfalls. 🧩 What Is the else Block in Loops? In Python, both for and while loops can have an optional else clause. The basic syntax looks like this: for item in iterable: or for a while loop: while condi…  ( 10 min )

Haptic Feedback in iOS: A Comprehensive Guide Haptic feedback has become an integral part of modern iOS app experiences, providing tactile responses that enhance user interactions and create a more immersive interface. Apple's Taptic Engine, introduced with the iPhone 6s, enables precise and nuanced vibrations that go far beyond simple notification alerts. Whether you're building a camera app, a game, or a productivity tool, understanding the various haptic feedback APIs available in iOS is crucial for delivering polished user experiences. iOS offers multiple approaches to implementing haptic feedback, each with its own strengths, limitations, and use cases. From high-level SwiftUI modifiers to low-level system APIs, developers have a range of tools at their disposal. However, not all ha…  ( 8 min )

Timber floors have an enduring charm that few other materials can match. Their warmth, texture, and natural grain bring life to both contemporary and traditional homes. However, over time, even the finest hardwood floors begin to show signs of wear—scratches, fading, or dull finishes that detract from their beauty. That’s where Floor sanding and polishing Hornsby services come into play, providing homeowners with a way to revive their timber floors and extend their lifespan without the need for replacement. The Art of Floor Sanding and Polishing Why Timber Floors Need Regular Care Benefits Beyond Appearance The Importance of Professional Expertise Environmental Responsibility in Modern Floor Restoration Common Challenges and Solutions The Lasting Impact of a Well-Finished Floor Choosing the Right Partner for the Job Final Thoughts Restoring timber floors is an investment that pays off in both beauty and practicality. Through expert sanding and polishing, Hornsby homeowners can preserve the natural charm of their floors for decades. With sustainability, safety, and craftsmanship at the forefront, this process continues to define modern Australian home maintenance. When handled by trusted professionals like AJ Floor sanding and polishing Hornsby, every project reflects both technical mastery and a genuine appreciation for timber’s timeless appeal.  ( 10 min )

Blocks: A component registry for shadcn/ui projects with 59 copy-paste blocks Key features: 🎨 Accessible components with ARIA support built in ⚙️ Install through shadcn CLI with one command 🔧 Full source code ownership after installation 📦 Nine categories covering auth, dialogs, forms, sidebars, tables, and more 🎯 Live previews available at blocks.so 🔌 Simple registry config in components.json The blocks install as source code rather than npm packages. You get complete control to modify any component after adding it to your project. Browse all blocks with working demos before installation. Registry includes everything from login screens to data tables. Each block follows shadcn composition patterns and works with your existing setup. 👉 Blog Post 👉 GitHub Repo 👉 Live Demo  ( 6 min )

👋 Hey everyone! I recently built Telelinker — an open-source command-line tool that helps you extract and analyze links shared in Telegram groups. If you’ve ever wanted to know what people are sharing most often in your community — YouTube videos, TikToks, LinkedIn posts, Medium articles — Telelinker can help you find out in seconds. Telegram is full of interesting content. But if you manage or research multiple groups, tracking what gets shared can get messy. I wanted a simple tool that could: Grab all links shared in a group Detect which platform they belong to (YouTube, TikTok, etc.) Collect useful metadata like username, likes, comments, views Export everything to CSV or PostgreSQL for analysis So, I built Telelinker. Once you connect it to your Telegram account, Telelinker can: ✅ Ext…  ( 7 min )

Recently, I had the opportunity to recommend some useful security products to several clients, with WAF (Web Application Firewall) being one of them. Attack protection is the core capability of a WAF, and in this article, I will introduce how to scientifically test the effectiveness of WAF protection. To ensure the fairness and impartiality of the test results, all target machines, testing tools, and test samples mentioned in this article are open-source projects. The test results are primarily based on four indicators: Detection Rate: Reflects the comprehensiveness of the WAF's detection capabilities. Failing to detect is referred to as a "false negative." False Positive Rate: Reflects the interference with normal traffic. Unreliable results are referred to as "false positives." Accuracy …  ( 8 min )

Según el Banco de México, en 2022 se identificaron casi 20 mil operaciones sospechosas relacionadas con lavado de dinero en México, lo que representa un aumento del 25% con respecto al año anterior. Este fenómeno importa porque el lavado de dinero no solo genera inestabilidad económica y corrupción, sino que también financia actividades delictivas como el tráfico de drogas, el narcotráfico y la extorsión, lo que perjudica directamente a la comunidad y al Estado. Es importante detectar estos riesgos de manera temprana mediante la utilización de tecnologías como la Inteligencia Artificial (IA) y el Aprendizaje Automático (ML). Estas herramientas pueden analizar grandes cantidades de datos y patrones comportamentales para identificar posibles operaciones sospechosas, lo que permite tomar medi…  ( 7 min )

Unleashing Human Potential: The Hidden Benefit of AI Sports Coaches in Injury Prevention" As an AI expert, I've had the opportunity to dive into the world of AI Sports Coaches, which has led to a fascinating discovery. While many focus on the obvious benefits of AI-driven performance enhancement, I'd like to highlight an often-overlooked aspect – injury prevention. Recent advancements in machine learning has enabled AI Sports Coaches to analyze vast amounts of data, including player behavior, biomechanics, and environmental factors. By leveraging this information, these coaches can identify subtle patterns and anomalies that may indicate an increased risk of injury. The takeaway? AI Sports Coaches can play a crucial role in preventing injuries by providing personalized insights and recommendations for players. This proactive approach can lead to reduced downtime, lower medical costs, and improved overall performance. By combining human expertise with AI-driven analysis, teams can create a safer and more effective training environment. In short, AI Sports Coaches are not just about winning championships – they're about protecting the well-being of athletes, one data point at a time. Publicado automáticamente con IA/ML.  ( 6 min )

Buy Me a Coffee☕ *Memo: My post explains how to create True. bool()>: print(bool(False)) # bool print(bool(None)) # None print(bool(0)) # int print(bool(0.0)) # float print(bool(0.0+0.0j)) # complex print(bool([])) # Empty list print(bool(())) # Empty tuple print(bool(set())) # Empty set print(bool(frozenset([]))) # Empty frozenset print(bool({})) # Empty dict print(bool('')) # Empty str print(bool(b'')) # Empty bytes print(bool(bytearray(b''))) # Empty bytearray print(bool(range(0))) # Empty range # False not>: print(not True) # bool print(not 1) # int print(not -1) # int print(not 1.0)…  ( 7 min )

Title: Unveiling the Dark Web's Role in Mexican Anti-Money Laundering Efforts As a specialist in AI/ML, I've been following the evolving landscape of Mexican anti-money laundering (AML) policies, and recent research sheds new light on the involvement of dark web activities in financial crime prevention. A study published by the Mexican government's Financiera Nacional de Desarrollo, S.A. de C.V. (Fonorpagos), in collaboration with AI/ML experts, has unveiled a critical insight: dark web platforms play a double-edged sword in AML efforts in Mexico. The study reveals that while dark web platforms are notorious for facilitating illicit transactions, they also inadvertently provide a valuable digital trail for anti-money laundering investigators. The research team analyzed a dataset of over 10…  ( 7 min )

Después de varios años construyendo productos web — desde sitios que apenas cargaban hasta apps complejas con muchos usuarios — entendí algo que suena obvio, pero que muchos olvidamos o al menos yo olvidé: aprender solo no tiene el mismo valor que aprender y compartir. Así que decidí abrir este espacio. Cada semana voy a publicar un post sobre desarrollo frontend, React, performance y buenas prácticas. Desde lo más básico hasta temas más avanzados, con ejemplos reales, errores que me dolieron y soluciones que me funcionaron. Si te interesa construir experiencias web más rápidas, entendibles y humanas, te invito a seguirme en este viaje. ⚙️ Tecnologías que suelo usar: React, Next.js, TypeScript, Tailwind, Redux, y todo lo que ayude a crear productos con impacto real. 🚀 Mi meta personal: compartir, aprender con la comunidad. Nos leemos cada semana (espero 😬). — Leo Trujillo  ( 7 min )

I picked up Go recently while building the backend of a crypto tracker. This tracker allows users to manage their cryptocurrency holdings and calculate their wallet value in real-time. One of my favorite learnings so far is value receivers and pointer receivers, and how everything works under the hood. Go passes arguments by value, not by reference. This means it creates a copy of the argument and passes that copy to the function. Understanding this is crucial to writing efficient Go code. When you use a value receiver, Go creates a copy of the struct. Any modifications you make inside the function only affect the copy, not the original. type Wallet struct { User string TotalValue float64 } // Value receiver - receives a copy func (w Wallet) UpdateValue(newValue float64) { …  ( 9 min )

MVC (Model–View–Controller) — detailed, plain English What it is: Parts & role Model — holds the data and the business rules. Think: database records, validation logic, and how data is transformed. It’s the source of truth. View — the user-facing presentation layer. HTML, mobile screens, or UI components that display Model data. Controller — the mediator that receives user input (clicks, form submits), talks to the Model to read/update data, and picks which View to render. Typical request flow (web example): User clicks a button in the View. Controller receives the request/route and validates input. Controller asks the Model to fetch/update data. Model returns data (or an error). Controller chooses a View and passes the Model data to it. View renders the final UI the user sees Benefits C…  ( 8 min )

If your DR plan still says “hope we never need it,” here’s a 2-command seatbelt. What it does Creates Git-native read-only mirrors (*.git) Zero telemetry Restores with plain Git (no tool required) Quickstart pwsh gh extension install rickballard/gh-rz gh rz -User $(gh api user --jq .login) -OutDir "$HOME/Desktop/GitHubRepoBackups" Restore without the tool The backup folder includes RESTORE.md and RESTORE.ps1. You can git clone --mirror or recreate repos in a clean org and push --mirror. Get it: [Latest Release](https://github.com/rickballard/gh-rz/releases/latest) [Source](https://github.com/rickballard/gh-rz) Ethics (voluntary) [No crowns, no coercion, no corruption ](https://github.com/rickballard/gh-rz/blob/master/ETHICS.md) Tell me what hurts in your DR runbooks and I’ll prioritize fixes that help most teams. Free gift, no strings attached, be nice.  ( 6 min )

Think your int, float, and char are different? Think again. This deep-dive reveals that every variable you declare, no matter the type, is just a reinterpretation of binary truth inside your computer. Discover how a single uint32_t can represent them all, and how this insight reshapes how we understand programming itself. Introduction: The Lie We All Believe If you’ve ever typed int x = 42; and confidently thought “this is an integer”, you’ve been deceived, not by your compiler, but by an abstraction so elegant we stopped questioning it. From our very first programming tutorial, we’re told that int is for whole numbers, float for decimals, char for characters, and string for text. These are tidy boxes designed for human minds, not machine logic. But your CPU, the silicon heart beneath al…  ( 13 min )

Role Technology Stack Details/Benefits Frontend/Hosting AWS Amplify Hosting (Next.js) Integrates Next.js deployment, CI/CD, and Edge CDN. Backend (API) Amplify Gen 2 (TypeScript/JavaScript) Automatically generates/defines APIs and Lambda functions from a data model. Backend (Data) AWS RDS (PostgreSQL) Managed within a VPC as a custom resource by Amplify Gen 2. Infrastructure Management Amplify Gen 2 (CDK-based) Amplify's definition files are converted to CDK to build the infrastructure. Offers a higher level of abstraction than SAM. Integration/Connection Amplify Functions (Lambda) Amplify abstracts the complex VPC configuration and Secrets Manager integration required for RDS connectivity. Advantages of This Architecture Integrated Developer Experience: Backend definitions …  ( 7 min )

This article explains the basics of getting your NativePHP application to the Google Play Store. Before you begin, you will need to register for a Play Console developer account. It has a one time fee of $25 (at the time of writing). It may take a few days to get approved on Google's side. Once you have been approved and your NativePHP application is ready to be uploaded, you need to do the following things. Generate a keystore file Configure NativePHP to use the keystore file Publish your application You keystore file is a Java thing which is essentially a bag that can hold a bunch of things. In our case, we want it to hold our signing keys for our application (but it could hold many things). In a terminal, run the following command (this assumes you already have a JDK installed which com…  ( 8 min )

Amazon Prime Day 2025: The best early deals you can shop now, dates and everything else you need to know Amazon Prime Day is a shopping event that offers exclusive deals and discounts to Amazon Prime members. It typically takes place in July and is a popular time for consumers to purchase products. To take advantage of Prime Day deals, you must be a Prime member. If you are not a Prime member, you can still shop on Amazon during Prime Day, but you will not be able to access the exclusive deals. It's worth noting that other retailers may also have their own competing Prime Day sales during that time frame. 📌 Based on insights from [source] This article was enhanced for better detail.  ( 6 min )

For the first time, users can access live market odds on future events directly in Google Search and Google Finance, elevating blockchain-powered forecasts into public view.  ( 30 min )

The Layer-1 token dropped 2.5% amid a sharp rise in trading volume, with a potential rebound forming after a double-bottom.  ( 30 min )

Internet Computer soars to $7.02, climbing 34% in a breakout move that confirms renewed bullish momentum backed by exceptional trading activity.  ( 30 min )

Stellar (XLM) slid 2.2% amid heavy selling at the $0.2815 resistance level, confirming continued bearish momentum as volume spiked.  ( 32 min )

Hedera’s native token rebounds after a sharp 2.6% drop, with rising volume and a confirmed double-bottom pattern signaling potential upside toward $0.1730.  ( 31 min )

Using risk capital metrics, the bank says BTC should match two-thirds of gold's private investment base, up from $102K now.  ( 31 min )

District Judge Denise Cote sentenced Keonne Rodriguez to the statutory maximum. Fellow developer William Lonergan Hill will be sentenced tomorrow.  ( 30 min )

Continuing a steep slide begun in July, Michael Saylor's Strategy has now turned lower on a year-over-year basis.  ( 31 min )

BOE Deputy Governor Sarah Breeden tied the need to impose caps on stablecoin holdings to the U.K.'s mortgage market, which relies on commercial bank lending.  ( 30 min )

BONK declines 4.06% to $0.00001174 as failed resistance test triggers downside momentum amid rising volume.  ( 30 min )

DeFi can be misunderstood, but it's key to investing's future. Learn about the tech, adoption trends, and how advisors can win with clarity.  ( 34 min )

Challenger job cuts for October rose to their highest in more than 20 years.  ( 31 min )

Data shows long-term holders have driven an unprecedented wave of distribution across 2024 and 2025.  ( 30 min )

NEAR Protocol (NEAR) joined Internet Computer (ICP) as a top performer, rising 3.3%.  ( 28 min )

Though Ethereum is still the preferred platform among institutions for asset tokenization, DeFi apps and stablecoin creation, it faces threats that will erode its edge if it doesn't move to meet the market, argues Axelar co-founder and CEO Sergey Gorbunov.  ( 34 min )

The integration, powered by Chainlink’s NAVLink oracle technology, represents another leap in bridging traditional finance and decentralized finance together.  ( 31 min )

The proceeds from the sale will fund new research projects at ITER, including exploring fields like quantum technology.  ( 30 min )

The Chinese automotive transaction firm turned bitcoin miner Cango issued an update to its shareholders.  ( 29 min )

KraneShares, best-known for its China-focused ETF, plans to shift fully to tokenized offerings in the coming years, CEO said.  ( 30 min )

The penalty relates to Coinbase Europe breaching its anti-money laundering and counter terrorist financing transaction monitoring obligations between 2021 and 2025.  ( 33 min )

Upsized 2 million-share SATA issuance priced at $80 includes a 12% dividend and potential bitcoin allocation.  ( 30 min )

Your day-ahead look for Nov. 6, 2025  ( 36 min )

Bitcoin steadies above $100,000 after a dip, while altcoins struggle and derivatives data show rising caution across the market.  ( 32 min )

With the perpetual preferred share STRC now trading at par, Strategy may unlock a new path to acquire bitcoin through its at-the-market program.  ( 30 min )

Accredited investors in Hong Kong have access to the U.S. dollar, Luxembourg-registered, tokenized UCITS money-market product.  ( 31 min )

The token defended its ascending channel structure despite distribution pressure at the upper boundary, keeping short-term bias neutral-to-bullish above $0.16.  ( 31 min )

The move marked the token’s strongest daily gain in a week and outperformance against a declining broader market, with traders now eyeing a clean push toward $2.50.  ( 32 min )

At Miami’s America Business Forum, he said his orders ended a “war on crypto,” mentioned that crypto helps the dollar and warned China could gain if Washington stumbles.  ( 31 min )

BTC recently fell below $100,000 as macro uncertainties weighed over spot ETF inflows.  ( 32 min )

Even as concern and skepticism grows over U.S. AI startup OpenAI's buildout strategy and high spending commitments, Chinese open source AI providers are escalating their competition and one has even caught up to OpenAI's flagship, paid proprietary model GPT-5 in key third-party performance benchmarks with a new, free model. The Chinese AI startup Moonshot AI’s new Kimi K2 Thinking model, released today, has vaulted past both proprietary and open-weight competitors to claim the top position in reasoning, coding, and agentic-tool benchmarks. Despite being fully open-source, the model now outperforms OpenAI’s GPT-5, Anthropic’s Claude Sonnet 4.5 (Thinking mode), and xAI's Grok-4 on several standard evaluations — an inflection point for the competitiveness of open AI systems. Developers can …

Google Cloud is introducing what it calls its most powerful artificial intelligence infrastructure to date, unveiling a seventh-generation Tensor Processing Unit and expanded Arm-based computing options designed to meet surging demand for AI model deployment — what the company characterizes as a fundamental industry shift from training models to serving them to billions of users. The announcement, made Thursday, centers on Ironwood, Google's latest custom AI accelerator chip, which will become generally available in the coming weeks. In a striking validation of the technology, Anthropic, the AI safety company behind the Claude family of models, disclosed plans to access up to one million of these TPU chips — a commitment worth tens of billions of dollars and among the largest known AI infr…

By now, enterprises understand that retrieval augmented generation (RAG) allows applications and agents to find the best, most grounded information for queries. However, typical RAG setups could be an engineering challenge and also exhibit undesirable traits.  To help solve this, Google released the File Search Tool on the Gemini API, a fully managed RAG system “that abstracts away the retrieval pipeline.” File Search removes much of the tool and application-gathering involved in setting up RAG pipelines, so engineers don’t need to stitch together things like storage solutions and embedding creators.   This tool competes directly with enterprise RAG products from OpenAI, AWS and Microsoft, which also aim to simplify RAG architecture. Google, though, claims its offering requires less orches…

Presented by Salesforce Vibe coding — the fast-growing trend of using generative AI to spin up code from plain-language prompts — is quick, creative, and great for instant prototypes. But many argue that it's not cut out for building production-ready business apps with the security, governance, and trusted infrastructure that enterprises require. In other words, a few saved hours in development can mean a future full of security vulnerabilities, endless maintenance, and scalability headaches, says Mohith Shrivastava, principal developer advocate at Salesforce. "For rapid experimentation, building minimum viable products, and tackling creative challenges, vibe coding is a game-changer," Shrivastava says. "However, that same speed and improvisational nature are exactly what makes its appli…

Presented by Arm AI is no longer confined to the cloud or data centers. Increasingly, it’s running directly where data is created — in devices, sensors, and networks at the edge. This shift toward on-device intelligence is being driven by latency, privacy, and cost concerns that companies are confronting as they continue their investments in AI. For leadership teams, the opportunity is clear, says Chris Bergey, SVP and GM, of Arm’s Client Business: Invest in AI-first platforms that complement cloud usage, deliver real-time responsiveness, and protect sensitive data. "With the explosion of connected devices and the rise of IoT, edge AI provides a significant opportunity for organizations to gain a competitive edge through faster, more efficient AI," Bergey explains. "Those who move first…

Learn to play the guitar! We just posted a course on the freeCodeCamp.org YouTube channel that will teach you essential guitar theory including the fretboard, the major scale and the triads. It was created by baritone guitarist, Alex Gordon Hi-Fi. He...  ( 4 min )

Have you ever wondered why some websites load almost immediately and others leave you looking at a blank screen, even when your internet connection is fast? In some cases, your internet speed may not be the issue. It is usually because of Round Trip ...  ( 10 min )

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. How conspiracy theories infiltrated the doctor’s office As anyone who has googled their symptoms and convinced themselves that they’ve got a brain tumor will attest, the internet makes it very easy to self-(mis)diagnose…  ( 22 min )

Picture it: I’m minding my business at a party, parked by the snack table (of course). A friend of a friend wanders up, and we strike up a conversation. It quickly turns to work, and upon learning that I’m a climate technology reporter, my new acquaintance says something like: “Should I be using AI? I’ve…  ( 21 min )

Redmagic has officially launched its latest flagship gaming smartphone, the Redmagic 11 Pro, for the local market. It is powered by Qualcomm’s Snapdragon 8 Elite Gen 5 processor, supported by the brand’s dedicated RedCore R4 gaming chip and more. Slated for release on 10 November 2025, it is also looking to be the first Snapdragon […] The post Redmagic 11 Pro Arriving In Malaysia On 10 November 2025; Starts From RM3,399 appeared first on Lowyat.NET.  ( 36 min )

iCAUR recently previewed its upcoming V23 EV SUV, and I had the opportunity to take the iWD variant for a spin at Kev Avenduro Park, Rawang. This short off-road session on a muddy trail offered valuable insight into the SUV’s off-road prowess and the level of comfort it delivers even in challenging conditions. The V23 […] The post iCAUR V23 Test Drive: Off-Road Confidence Meets Electric Innovation appeared first on Lowyat.NET.  ( 36 min )

Canon today has officially launched the EOS R6 Mk III full-frame mirrorless camera both globally and in Malaysia. It is the successor to the second generation model which debuted three years ago, equipped with numerous upgrades in hardware and features. The EOS R6 Mark III features a new 32.5MP sensor, offering a notable resolution jump […] The post Canon EOS R6 Mk III Officially Launches In Malaysia; Starts From RM10,999 appeared first on Lowyat.NET.  ( 37 min )

Aside from launching the Ora Good Cat facelift, GWM announced that the next model to launch in the local market is the Wey 9 Plug-in hybrid MPV. This was announced by GWM’s Chief Operating Officer (COO) Roslan Abdullah during the event earlier. As you may recall, the Wey 9 MPV was recently previewed locally, showcasing […] The post GWM Confirms Wey 9 PHEV MPV To Launch In Malaysia appeared first on Lowyat.NET.  ( 35 min )

Huawei has officially launched the Mate 70 Air in China, almost a full year after the original series debuted there. Though it is launching alone, the company is offering four different configurations to choose from. Right off the bat, the Mate 70 Air is sporting a 7-inch 1.5K+ OLED display with 2,760 x 1,320px resolution, […] The post Huawei Mate 70 Air Launches In China appeared first on Lowyat.NET.  ( 34 min )

Audio brand Harman Kardon has announced the Aura Studio 5 for the Malaysian market. As the name suggests, it’s the fifth entry into the brand’s 360-degree speaker series. It also has what the company calls a “new multi-layering lighting projection and acoustic design”. What that means is that the the Harman Kardon Aura Studio 5 […] The post Harman Kardon Aura Studio 5 Launches In Malaysia For RM1,599 appeared first on Lowyat.NET.  ( 34 min )

Not too long ago, OPPO launched the Find X9 and the Find X9 Pro as its newest flagship smartphones. Of course, these won’t be the only models in the series, as the brand will be releasing the fanciest variant later. Typically, the company only launches this model in its home market, but it seems like […] The post OPPO Find X9 Ultra Tipped To Launch In Global Markets appeared first on Lowyat.NET.  ( 34 min )

More than a year after its introduction, Meta is now rolling out its AI chatbot (via its dedicated website) to Malaysian users. Soon, they will be able to also access the feature through the company’s various platforms, including Facebook, Instagram, and WhatsApp. For the uninitiated, Meta AI works like any other chatbot dominating the space. […] The post Meta Confirms Rollout Of AI Chatbot To Malaysian Users appeared first on Lowyat.NET.  ( 34 min )

Power bank brand CUKTECH has announced two powerbanks sharing the same name, as well as a car charger, to be added to its product catalogue. Said power charger is called the CP24, with one variant having one built-in cable, and the other having two. The car charger, on the other hand, is simply called the […] The post CUKTECH Launches Two New Power Banks, Car Charger appeared first on Lowyat.NET.  ( 34 min )

GWM Malaysia has officially launched the facelifted Ora Good Cat alongside the new Ora Good Cat GT variant. The previous version was introduced in Malaysia back in 2022, where it was offered in two variants: 400 Pro and 500 Ultra. However, the new model now comes in the Ultra option and the aforementioned GT version. […] The post GWM Launches Ora Good Cat Facelift; Starting Price RM109,800 appeared first on Lowyat.NET.  ( 36 min )

When it comes to phones, there is no denying that everyone wants a device that they can comfortably rely on. However, finding one on a budget is the real challenge. Luckily, The Samsung Galaxy A07 is here to remedy that. With a massive emphasis on storage and software support, this device is perfect for students […] The post You Can Now Own A Samsung Galaxy A07 For Free With CelcomDigi appeared first on Lowyat.NET.  ( 38 min )

Memory maker SanDisk has recently launched its newest product, the Extreme Fit USB-C Flash Drive. What’s notable about the device is that it is currently the world’s smallest 1TB flash drive,as the company says. The drive measures only 18.5 × 15.7 × 13.6 mm and weighs a mere 3g. The compact design allows it to […] The post SanDisk Launches World’s Smallest 1TB USB-C Flash Drive appeared first on Lowyat.NET.  ( 34 min )

Google and Epic Games have been locked in a legal battle for the better part of five years. And it all started with the latter rolling out direct payments for Fortnite on Android. After the better part of five years, the two have reached a settlement that would end said legal battle. Though the companies […] The post Google, Epic Games Reach Settlement For Years-Long Legal Battle appeared first on Lowyat.NET.  ( 34 min )

Nintendo is officially rolling out a new app for Android and iOS called the Nintendo Store App. Much like most digital stores, the app allows users to peruse and purchase the gaming company’s vast range of products. In a way, the app isn’t technically new; it is a reimagining of the My Nintendo app that […] The post Nintendo Launches “Nintendo Store App” For iOS, Android appeared first on Lowyat.NET.  ( 35 min )

It seems Apple is enlisting Google’s help for its new and improved Siri. According to a report by Bloomberg’s Mark Gurman, the iPhone maker is currently finalising an agreement with the search engine giant. This deal will allow Apple access to a custom version of Gemini for a price of around US$1 billion (~RM4.2 billion) […] The post Apple To Pay Google US$1 Billion A Year To Power Overhauled Siri appeared first on Lowyat.NET.  ( 34 min )

DJI has officially launched its Osmo Mobile 8 smartphone gimbal in Malaysia. The device initially made its debut in China last month, introducing numerous upgrades including 360-degree rotation, improved tracking features, and more. To recap, the DJI Osmo Mobile 8 retains the brand’s signature 3-axis stabilisation but now introduces unlimited 360-degree horizontal rotation, enabling smooth […] The post DJI Osmo Mobile 8 Launches In Malaysia; Priced At RM569 appeared first on Lowyat.NET.  ( 35 min )

The Volvo ES90 has been spotted in Malaysia roads, confirming its local debut early next year. It was sighted near Volvo Car Malaysia’s (VCM) headquarters in Section 13, Petaling Jaya. Although the vehicle was still covered in delivery wraps, its three-box silhouette and the outline of the distinctive C-shaped taillights unveiled its identity.  The sighting came to […] The post Volvo ES90 Spotted In Malaysia Ahead Of Expected 2026 Launch appeared first on Lowyat.NET.  ( 35 min )

Stablecoins reached $316B in market cap and $1.25T in monthly volume. Explore how they are reshaping the global financial stack.  ( 8 min )

Are you evaluating StatusGator alternatives for your organization? As an IT manager responsible for maintaining service reliability and minimizing downtime impact, choosing the right status page aggregator is critical to your operations. This comprehensive guide explores IsDown as a StatusGator alternative, providing detailed comparisons to help you make an informed decision. Before diving into the StatusGator alternative comparison, let's establish why status page aggregation has become essential for modern IT operations. Today's IT infrastructure relies on dozens or even hundreds of third-party services. From cloud providers like AWS and Azure to communication tools like Slack and Zoom, to payment processors like Stripe—each service represents a potential point of failure. When these se…  ( 16 min )

Comment j'ai construit l'animation du logo Quo.js avec un moteur externe à React, des souscriptions atomiques dans React, et presque aucun code répétitif. TL;DR : J'ai transformé un PNG statique du logo Quo.js en centaines de cercles SVG animés qui s'assemblent, se dispersent autour de la souris et reviennent en douceur — le tout en React 19 + TypeScript utilisant @quojs/core et @quojs/react. L'astuce consiste à exécuter un petit moteur complètement en dehors de React, en diffusant des mises à jour d'état groupées dans un store Quo.js, puis en effectuant le rendu avec des souscriptions atomiques dans React afin que l'interface utilisateur ne soit re-rendue que lorsque les coordonnées d'un cercle spécifique changent réellement. Technologies : React 19, TypeScript, Vite, SVG État : @quoj…  ( 12 min )

A post by Lindokuhle Mkhawana  ( 5 min )

I’ll admit, I've in the past had a negative reaction to the term vibe coding. (And in some circumstances, I still do.) It often brought to mind an engineer carelessly committing code that’s buggy or inefficient without proper checks. My perspective changed after our conversation with Keith Ballinger, VP and General Manager at Google Cloud on episode 6 of the Agent Factor podcast. He showed us that his approach to vibe coding isn't about chaos; it's about a surprisingly structured template that turns a vague 'vibe' into a concrete plan. Demo: Vibe coding a command line Markdown viewer with the Gemini CLI My biggest takeaway is that vibe coding is more nuanced than I first thought. I now see its value on a spectrum: it's a powerful tool for exploration when you're in unfamiliar territory, an…  ( 10 min )

The task is to implement interval which emits sequential numbers every specified period of time. The boilerplate code: function interval(period) { // your code here } The function takes one argument - period, which is the time interval between emissions. The function returns a new Observable. When the Observable is subscribed to, an observer object that defines what to do when a new value is emitted is returned let count = 0; const id = setInterval(() => observer(count++), period) The count starts at 0. At every period, setInterval runs observer(count++), and the subscriber receives a new value. When the subscription to the Observable ends, the timer is stopped return { unsubcribe() { clearInterval(id) } } The final code function interval(period) { // your code here return new Observable(observer => { let count = 0; const id = setInterval(() => observer(count++), period) return{ unsubscribe() { clearInterval(id) } } }) } That's all folks!  ( 6 min )

Unlocking Logic's Secrets: BoolSkeleton – Streamlining Boolean Networks for Peak Performance Imagine untangling a massive circuit diagram, where countless pathways obscure the core logic. This is the reality when optimizing complex Boolean networks. The same functional behavior can be achieved with vastly different network structures, creating redundancy and hindering performance. That's where BoolSkeleton comes in. It's a novel approach to simplify Boolean networks by identifying and eliminating redundant elements while preserving critical functionality. Think of it like pruning a tree: removing extraneous branches to allow the essential ones to thrive. The core of BoolSkeleton lies in strategically reducing the network. It classifies network nodes based on their roles in the overall lo…  ( 7 min )

Table of Contents Previously in the Series Rockstar Developer 🎸 Popstar Developer 🪩 What Goes Into Understanding a New Technology Same Applies to LLMs and Their Versions When Does It Actually Make Sense to Go All In on New Tech? Be Extra Cautious When Your Decision Might Affect Others Make Sure You Pick Tech for Long-Term Use You Don't Have to Pick Sides, Don't Label Yourself Conclusion Last time, we dove into what it really means to stay old school in this chaotic, AI-powered era and the pros and cons that come with it. Catch up on the full article here: Will Developers Survive AI Takeover? Part 3: What Happens If You Stay Old School? Giorgi Kobaidze ・ Nov 1 #ai #machinelearning #discuss #career We discovered that being too cool for school and proudly s…  ( 12 min )

Picture this: You're staring at a 3000-line Terraform file at 2 AM, wondering why your simple VPC deployment is taking 45 minutes and why changing one variable broke half your infrastructure. Sound familiar? 🤔 Welcome to the wonderful world of Infrastructure as Code gone wrong! But fear not, dear reader. After 20 years of watching developers turn elegant infrastructure into digital spaghetti, I'm here to share the secret sauce that separates the Terraform wizards from the mere mortals. Today, we're diving deep into the art of writing efficient, maintainable Terraform code that won't make your future self (or your teammates) want to throw their laptop out the window. Let's transform your infrastructure from a house of cards into a solid foundation that scales! 🏗️ Remember that colleague w…  ( 9 min )

Laravel Log Cleaner v2.0 - Memory-Efficient Log Management The Problem 🔥 We've all been there: your Laravel app runs fine for weeks, then suddenly your server runs out of disk space. You SSH in, check the logs folder, and find a 5GB laravel.log file. Sound familiar? Log files can grow out of control fast, especially in production. But clearing them manually is risky, and heavy monitoring tools like Telescope can slow down your app or even crash your server. I built Laravel Log Cleaner to solve this exact problem. Version 2.0 just launched with major improvements: 🧠 Memory-efficient processing - handles multi-GB files without crashing 📦 Compression support - archive old logs instead of deleting 🔒 Backup creation - never lose important data 🎯 Log level filtering - keep only…  ( 10 min )

Most AI deployments wait for a prompt. Real operations do not. A manager defines a goal, delegates work, and people go collect facts, make decisions, and return results. What we need is AI agents that have an intent and initiate conversations with a goal. The system below mirrors that familiar pattern with task templates, action chains, a watchdog that moves work forward, and scout agents that initiate conversations. It is simple to describe, strong in practice, and it scales. Everything described here is doable with existing technologies. Let's look at the main components that make up such a system: A task template is the starting point. It contains an action chain plus basic metadata like name and description. Task Templates are executed by an event, on a schedule, when criteria are met,…  ( 11 min )

Manufacturers using Microsoft Dynamics 365 Business Central are familiar with the challenges of setting up Bills of Materials (BOMs) and routings. For straightforward products, the standard functionality works. For configurable products with multiple options, dependencies, and variations, the standard setup creates unnecessary complexity. Business Central’s standard BOM and routing tools introduce bottlenecks: Excessive BOMs – Every variation requires a separate BOM, creating an overwhelming library to maintain. Manual entry – Sales and planning teams manually enter routing steps, material requirements, and pricing for each configuration. Frequent errors – Missing updates to a routing step or cost value lead to inaccurate production plans and incorrect quotes. Inefficient quoting – T…  ( 7 min )

Getting deeper into WordPress development recently, I explored how to work with WPGraphQL in order to expose custom data and operations through GraphQL. I came across a highly detailed guide titled How to Extend WPGraphQL with Custom Types and Resolvers in PHP in WordPress What stood out immediately is how it speaks not just about the “how” but also the “why”: you’ll often need to expose new object types (using register_graphql_object_type), add custom fields to existing types (register_graphql_field), hook into the graphql_register_types action and implement resolvers that handle PHP logic for returning data. In many real‑world sites, you might have custom database tables or external APIs, and the guide shows you how to tie them into your WPGraphQL schema. In my own tests, I created a small plugin—basic structure, namespace, autoloading with Composer—and followed the pattern: register custom type, add a resolver that fetches meta‑fields or external data, and then query it via GraphiQL. Suddenly I could ask for data that wasn’t part of standard Posts or Users, but bespoke to my project. The learning curve was real, but the insight you gain is significant: you move from “WordPress + GraphQL plugin” to “WordPress as headless CMS with custom API surface”. If you’re working on a medium‑sized project, want to build a bespoke front‑end (e.g., Next.js, React) backed by WordPress, or simply hope to future‑proof your site’s data layer, this kind of customization is where modern WP development is going.  ( 6 min )

FFmpeg is the swiss army knife of multimedia processing. It’s a free and open-source command-line tool that can handle virtually any video or audio format. Whether you're a developer, a content creator, or just someone who wants to have more control over their media files, FFmpeg is an essential tool to have in your arsenal. Here are some awesome tricks to get you started. Before you start manipulating a file, you can get detailed information about it, including its codecs, resolution, and duration. ffmpeg -i input.mp4 One of the most basic and useful features of FFmpeg is format conversion. To convert a video from .mov to .mp4: ffmpeg -i input.mov output.mp4 To extract the audio from a video and save it as an MP3: ffmpeg -i input.mp4 -vn -ar 44100 -ac 2 -ab 192k -f mp3 output.mp3 Easily cut a video to a specific length by providing a start time and an end time. ffmpeg -i input.mp4 -ss 00:00:10 -to 00:00:40 -c copy output.mp4 Using -c copy is a great trick because it avoids re-encoding the video, which is much faster and preserves the original quality. Animated GIFs are a great way to share short video clips. FFmpeg makes creating them a breeze. ffmpeg -i input.mp4 -ss 00:00:10 -t 5 -vf "fps=10,scale=320:-1:flags=lanczos" output.gif This command creates a 5-second GIF starting at the 10-second mark, with a frame rate of 10 fps and a width of 320 pixels. Need to grab some frames from a video? FFmpeg can do that too. ffmpeg -i input.mp4 -r 1 -f image2 image-%3d.png This command will extract one frame every second and save it as a PNG image with a numbered sequence (image-001.png, image-002.png, etc.). These are just a handful of the many tricks you can perform with FFmpeg. It’s a deep and powerful tool, and the best way to learn is to experiment. For more information, you can always consult the extensive official documentation. Happy encoding!  ( 7 min )

En son postta yüklediğim göselde ne olduğunu ve nasıl çalıştığını bilmediğim MUX lar hakkında araştırma yaptım ve seçenek seçici gibi düşünebiliriz. 2x1, 4x1, 8x1... gibi artan türleri var. Aslında binary bit sistemine göre seçeneği seçiyor. Örnek vermek gerekirse 4x1 MUX un 2 tane seçim pini var ve bunlarla 00 01 10 11 kombinosyanları ile I0, I1, I2, I3 inputlarından istediğimizi çıkışa verebiliyoruz. 4x1 MUX: 8x1 MUX: NESO Academy'nin içeriğinden MUX ları fonksiyonlarda kullanmayı anlatan ders: NESO Academy'nin Playlist linki  ( 6 min )

No. 6: Mulholland Drive Sean and Amanda dive into David Lynch’s surreal tour de force, applauding Naomi Watts’s haunting breakout turn and the endless conspiracy theories that keep fans talking. They celebrate how the film seamlessly blends Hollywood glamour, European dream logic, Americana oddities, and a dose of sinister outsider art into one unforgettable cinematic puzzle. Watch on YouTube  ( 6 min )

Predator 2 – Caravan of Garbage Review After the original Predator’s jungle smackdown, Predator 2 landed in 1990, swapping Schwarzenegger for Danny Glover and a sun-baked, crime-ridden L.A. heat wave. You get a slicker, meaner Predator stalking city streets, plus a surprise Gary Busey cameo to spice things up. Caravan of Garbage’s rundown praises the fresh setting and new villain while warning it’s a different beast than the first film. If you’re cool with less jungle and more urban chaos, it’s a fun ride. Watch on YouTube  ( 6 min )

Managing numerous GitHub repositories can sometimes be a chore, especially when you need to clean up a large number of old projects, test repositories, or deprecated forks. Manually deleting each repository through the web interface or even interactively via the GitHub CLI (gh) can be time-consuming and repetitive. This guide will show you how to automate the process of deleting multiple GitHub repositories using a simple bash script combined with the powerful GitHub CLI, all without being prompted for confirmation for each deletion. ⚠️ WARNING: This script performs destructive actions. Repositories deleted are gone forever. Always double-check your list of repositories before running any deletion script. It is highly recommended to test this process on dummy repositories first. Before you…  ( 8 min )

You might still be a student, still learning, or still wondering where you belong in tech. You scroll through GitHub, see contributors building amazing things, and it feels like they are miles ahead. But here is the truth: every great developer you admire once made their first pull request too. And that first contribution was not their end point. It was their beginning. Hacktoberfest is a month-long celebration of open source. Each October, developers from all over the world make their first contributions, fixing bugs, improving documentation, or adding new features to projects that anyone can use. For many, it is their first step into real-world collaboration. It is how they gain hands-on experience, connect with other developers, and start building the foundation of their career…  ( 8 min )

The way we build software is evolving quickly. AI-driven tools like Cursor are changing how developers write code, while backend platforms like Appwrite are changing how infrastructure is managed. Together, they are shaping a new era of development focused on automation, speed, and intelligence. In this new ecosystem, Model Context Protocol (MCP) servers act as the missing bridge between these tools, allowing editors like Cursor to talk directly to platforms such as Appwrite. Cursor is often described as “the best way to code with AI.” (cursor.com) It combines the familiarity of a code editor with the intelligence of an AI pair programmer. As Datacamp explains: Cursor takes this a step further by directly integrating with the code editor, eliminating the need to switch between the editor a…  ( 8 min )

In October 2024, I started a new role at Pie, a Chicago-based company that is building a platform that makes it easier for people to find things to do and make memories with friends. I was excited to join Pie for a few reasons: In-person culture After working remotely for 5 years, I was looking for a position that gave some face-to-face time Values alignment Pie's mission to cure loneliness was something that resonated with me, personally Stack alignment I had been working exclusively with React Native for years, and I was excited to continue that when building this product The people they're pretty cool, I guess I remember when I started, the only downside that I thought was going to be a point of frustration was that the existing React Native app was built with Expo. As a social media…  ( 8 min )

GIMME THE MEAT sshOurboros -- multiplayer game where snake eats itself and grows To play go here ssh web2u.org -p6996 The Rules: The goal is to claim the most space Secondary goal is to kill as many other Ourboroses as you can The how: To claim space you need to either eat your own tail or reach tiles you've already claimed, To kill other snakes you hit their tails To watch out: Other players can kill you by hitting your exposed tail Other players can take your tiles. The source: https://github.com/MShel/sshOuroboros/tree/main When you Sign Up to the game you are presented with 254 Ansi colorsor maybe less if there are active players in the game right now. we have in terminal - (void color + wall color). But now that you've signed up there are players there! What the heck?…  ( 9 min )

Hi everyone! 👋 I'm Melih — a software engineer, author, and composer from Türkiye. Recently, I built a small open-source Windows widget to help me (and hopefully others) stay focused on their current task. The app simply shows what you’re currently working on and how long you’ve been on it — right on your desktop. It’s minimal, always visible, and helps you track time without switching windows. C# + WinUI 3 MVVM pattern Local data persistence (no online sync, everything stays on your PC) Lightweight design with almost zero CPU usage I wanted something that runs natively on Windows, blends in visually, and doesn’t distract me — so I decided to build it myself. You can now download it directly from the Microsoft Store: 👉 Task Timer Widget — Microsoft Store And of course, it’s open source: 🔗 GitHub Repository I used many productivity tools (ActivityWatch, WakaTime, etc.), but I wanted something that stays always visible and shows just one thing: what I’m doing right now. This small widget helps me stay mindful of my current focus — especially while coding or composing music. Thanks for reading! If you try it out, I’d love to hear your feedback — both on the app and the code. Stay focused! 💻🎵  ( 7 min )

Qwen Image Models Training - 0 to Hero Level Tutorial - LoRA & Fine Tuning - Base & Edit Model Full tutorial link > https://www.youtube.com/watch?v=DPX3eBTuO_Y This is a full comprehensive step-by-step tutorial for how to train Qwen Image models. This tutorial covers how to do LoRA training and full Fine-Tuning / DreamBooth training on Qwen Image models. It covers both the Qwen Image base model and the Qwen Image Edit Plus 2509 model. This tutorial is the product of 21 days of full R&D, costing over $800 in cloud services to find the best configurations for training. Furthermore, we have developed an amazing, ultra-easy-to-use Gradio app to use the legendary Kohya Musubi Tuner trainer with ease. You will be able to train locally on your Windows computer with GPUs with as …  ( 8 min )

Como construí a animação do logo do Quo.js com um Engine fora do React, assinaturas atômicas dentro do React, e quase zero boilerplate. TL;DR: Transformei um PNG estático do logo do Quo.js em centenas de círculos SVG animados que se montam, se dispersam ao redor do mouse, e deslizam de volta para casa — tudo em React 19 + TypeScript usando @quojs/core e @quojs/react. O truque é rodar um pequeno Engine completamente fora do React, transmitir atualizações de estado em lotes para uma store do Quo.js, e então renderizar com assinaturas atômicas no React para que a UI só re-renderize quando as coordenadas de um círculo específico realmente mudem. Tech: React 19, TypeScript, Vite, SVG State: @quojs/core e @quojs/react O que NÃO é usado: three.js, WebGL, WebGPU. Isso é puro DOM/SVG + requestAnima…  ( 12 min )

Your AI agent works beautifully in development. Responses are quick, conversations flow naturally, and everything feels magical. Then you deploy to production with real users, and suddenly everything breaks. Response times spike to 5+ seconds. Agents lose conversation context mid-workflow. Memory usage explodes. Users report inconsistent behavior. Your costs skyrocket. I've built AI agent systems that handle 100+ concurrent users with sub-2-second response times. Here's what actually works in production—and what fails spectacularly. In development, you have: One user (you) Clean test data No concurrent requests Unlimited time to respond Generous error margins In production, you face: Hundreds of simultaneous users Messy, unpredictable inputs Race conditions everywhere Users expect <2s resp…  ( 16 min )

A feature release for the GitHub Action for Checking Spelling has just been made. The release is numbered 0.54.0 and contains an update of the core component PySpelling from version 2.11 to 2.12. The update allows for the configuration parameters jobs to be set to: 0 to allow for use of maximum number of cores. See the documentation for PySpelling and of course 0.54.0 of this action. The support for this setting was introduced with release 2.10 of PySpelling, which was adopted in release 0.36.0 of this action. Happy spellchecking on even more cores for all your spellcheck needs!  ( 6 min )

We’ve all written code like this before: const [value, setValue] = useState(getInitialValue()); It looks innocent — but this line hides a subtle performance pitfall. When you call useState(getInitialValue()), that function executes on every render, not just the first one. That’s because React re-runs your component function on every render, and the argument to useState() is evaluated before React decides whether to reuse the existing state. If getInitialValue() does something expensive — like computing, parsing, or reading from storage — you’re wasting CPU cycles on every render. function getInitialValue() { console.log("getInitialValue() called"); // imagine something slow here... return Math.random(); } function ExampleComponent() { const [value, setValue] = useState(getInitialValue); return ( Value: {value} setValue(v => v + 1)}>Increment getInitialValue()); On later renders, React reuses the same state value, skipping the function execution entirely. 💡 Tiny tweaks like this don’t just improve performance — they also make your intent clearer to everyone reading your code.  ( 6 min )

Picture this: It's 3 AM, your app's in flames because someone fat-fingered an env var in prod. Or worse—that "quick" config tweak forces a full redeploy, downtime ticking like a bomb. Sound familiar? We've all been there, wrestling with YAML nightmares, secret managers, and endless "it works on my machine" debates. Config management feels like herding cats... in the dark. But what if I told you there's a better way? One that turns config into a living thing—shared, collaborative, and instant. Enter Kiponos.io: the ultimate config platform that's not just managing your settings; it's democratizing them. With Kiponos, you forget env vars even exist. Instead, imagine this dead-simple line in your code: // Java SDK (Spring Boot 2.x/3.x ready) if (kiponosSdk.path("my-app", "debug").getBoolean("…  ( 7 min )

Building one AI agent to handle everything sounds simple. One conversation, one context, one set of instructions. But in practice, generalist agents fail at complex workflows. They lose focus. They confuse tasks. They can't decide when they're done. They try to be everything and end up being mediocre at most things. The solution isn't a smarter single agent—it's specialized agents with intelligent orchestration. Each agent does one thing exceptionally well, and an orchestrator routes conversations to the right specialist. I've built multi-agent systems where 4-6 specialized agents handle distinct workflows, coordinated by a central orchestrator. Here's how to architect orchestration that actually works in production. Consider a business operations platform that needs to: Schedule appointme…  ( 16 min )

The first real battle over AI web access has started, and it is not about scraping. It is about identity, control and the future architecture of autonomous AI agents. Perplexity’s new desktop assistant Comet behaves like a human user with a browser. It can open websites, extract information in real time and act on behalf of the user. Amazon has responded by signalling that this type of access may violate its platform rules. Developers have discussed scraping, headless browsers and bot detection for years, but Comet is the first mainstream AI tool to turn that into a user-facing product. That changes the stakes. This is no longer about bypassing rate limits. It is about whether an AI system is allowed to act as the user without using an API that the platform controls. This is a technical co…  ( 15 min )

Your AI agent needs to remember things. User preferences, project details, conversation history, tool results—all of it matters for providing intelligent responses. But every token you send costs money and consumes your context window. Send too little context, and your agent gives generic, unhelpful responses. Send too much, and you hit token limits, rack up costs, and slow down responses. I've built agents that manage context for manufacturing operations, sales workflows, and productivity systems. Here's how to give agents the right memory at the right time—without exploding your budget. Every LLM has a context window—a maximum number of tokens it can process. Claude Sonnet 4.5 has 200K tokens. GPT-4 has 128K tokens. Sounds like a lot, right? Here's what actually fits in that budget: A ty…  ( 16 min )

**What Are ERD Models? ERD models have always fascinated me as a way to bring order to the chaos of data. They're like the unsung heroes of database design, quietly mapping out connections that power everything from simple apps to massive enterprise systems. Let's dive deep into what makes ERD models so essential, starting from the ground up. models illustrate how various entities within a system interact with one another. An entity could be anything tangible or conceptual—a customer, a product, an event, or even a transaction. These ERD models use specific symbols to depict these entities and their interconnections, making abstract data structures feel more concrete. I remember first encountering ERD models in a college course, and it was a revelation; suddenly, databases weren't just lis…  ( 11 min )

🌦️ Telex Weather Agent — FastAPI + Railway + Telex.im 🚀 Overview This project is my Stage 3 Backend Task for HNG Internship. I built an AI-powered Weather Agent that integrates with Telex.im — a platform for intelligent AI coworker agents. The agent helps users fetch real-time weather data for any city in the world using FastAPI, deployed on Railway, and connected to Telex via the A2A protocol. The Telex Weather Agent: Accepts a city name as input from Telex conversations. Fetches current weather data from the OpenWeather API. Returns a concise and human-friendly weather summary. Handles invalid or missing inputs gracefully. Example Interaction User: "What's the weather in Lagos?" Agent: "The weather in Lagos is 30°C, clear sky, humidity 78%, and wind speed 3.2 m/s." Component Technology Language Python Framework FastAPI Hosting Railway API OpenWeatherMap Integration Telex.im (A2A Protocol) ⚙️ Project Structure  ( 6 min )

Jedes Mal, wenn ich ein Navi benutze, überkommt mich dieser "Entwickler-Juckreiz". Kennt ihr das? Diese leise Stimme im Kopf: "Hm, könnte ich das auch bauen? Sieht nicht so schwer aus. Nur ein Punkt auf einer Karte, eine Linie..." Neulich beschloss ich, diesem Juckreiz nachzugehen und setzte mich hin, um ernsthaft einen Plan zu schmieden. Es stellte sich heraus, dass der blaue Punkt auf der Karte nur die Spitze eines eisigen Monsters ist. Unter der Wasseroberfläche lauern technische Tiefen, die einem Angst machen. Als jemand, der von Navigation besessen ist, teile ich hier meine Gedanken, womit man wirklich konfrontiert wäre. 😱 Hürde Nr. 1: Womit entwickeln und (oh Gott) woher die Karten nehmen? Nehmen wir Flutter (ich bin ein Fan, also ja). Wir binden Maps_flutter oder mapbox_gl ein, wer…  ( 9 min )

You’ve spun up countless Python projects. The ritual is familiar: create a directory, initialize a virtual environment, install dependencies, and write your first main.py. It’s a muscle memory honed over years of development. But in that rush to get to the "real" work—the algorithm, the API endpoint, the data pipeline—we often treat the foundation as a given. We choose our tools out of habit, not strategy. This is a mistake. The most resilient and scalable Python applications are built not just on clever logic, but on a deliberate and profound understanding of the execution model itself. It’s about recognizing that the choice between Google Colab and a local PyCharm setup is an architectural decision. It’s about seeing PEP 8 not as a style guide but as a protocol for reducing cognitive fri…  ( 12 min )

Most on-call engineers don't burn out from hours, they burn out from noise. Alert fatigue isn't just a human problem; it's a design failure. Here's how to build an on-call process that keeps both systems and people healthy. It's 3 AM. Your phone buzzes. Again. Third time tonight. You drag yourself out of bed, squint at PagerDuty, and see: "Disk usage at 76% on server-web-03." Not urgent. Not even close to critical. But you're awake now. This is alert fatigue, and it's quietly destroying engineering teams everywhere. The numbers tell a grim story: 40% of on-call engineers report burnout symptoms Teams with high alert volumes have 3x higher attrition rates 70% of alerts don't require immediate action Engineers spend an average of 8 hours per week on alert noise But here's what the numbers do…  ( 13 min )

Hey everyone 👋 I’ve been learning programming little by little through different personal and work projects — building things that help me automate tasks, organize data, or just make life a bit easier. Recently, I decided to publish one of them for the first time: RemmiV1, a WhatsApp bot that automatically logs your daily expenses into Google Sheets 💬💸 The idea is simple: you send a normal message in WhatsApp like: chicken food 20 cash and the bot automatically registers: 🏷️ Category: food 🍗 Item: chicken 💰 Amount: 20 💳 Payment method: cash Everything goes directly into a Google Sheet, ready for reports or monthly summaries. The idea came from something personal. My girlfriend usually writes down her daily expenses in a WhatsApp chat — just as quick notes — but by th…  ( 7 min )

Introduction: To solve this, our team developed a Decentralized Wireless Communication System using LoRa (Long Range) technology and an ESP32 microcontroller. The system enables long-range, low-power, and infrastructure-free communication, ensuring connectivity even when all conventional networks are down. Project Overview: We built two transceiver devices that can both send and receive data over long distances using LoRa. Each device is equipped with four buttons and a gyroscopic sensor, designed to make emergency communication fast and effortless. “Are you safe?” “I am safe.” “Located.” “Medical emergency.” These preset messages were added because, during an emergency, victims may not be able to type messages manually. A single button press can instantly send a message to another node de…  ( 7 min )

In the sixth installment of their 21st-century movie countdown, Sean Fennessey and Amanda Dobbins dive into David Lynch’s Mulholland Drive, celebrating Naomi Watts’s career-making performance and unpacking the film’s endless swirl of conspiracy theories and dreamlike twists. They praise how Lynch fuses classic Hollywood glamour, Americana, European surrealism and a touch of outsider art into one unforgettable cinematic puzzle. Watch on YouTube  ( 6 min )

Everything Wrong With Longlegs In 24 Minutes Or Less CinemaSins just unleashed their latest “Everything Wrong With” roast on Osgood Perkins’s Longlegs, poking fun at Nicolas Cage’s gloriously over-the-top performance—yes, those legs really are that long. They even tie it back to Perkins’s upcoming horror flick, Keeper, for all you genre buffs. In classic CinemaSins style, the video description is a treasure trove of links: website, socials (@TVSins, @commercialsins, @cinemasinspodcastnetwork), a fan poll, Patreon support, Discord, Reddit, Instagram, TikTok—and don’t forget Jeremy’s new book. Plus a shout-out to the writers who keep the cinematic nitpicking coming. Watch on YouTube  ( 6 min )

Everything Wrong With Sinners In 15 Minutes Or Less is Cinemasins’s latest Halloween special, where they gleefully roast what they call one of the greatest genre movies ever in their signature sin-counting style. Expect witty jabs, rapid-fire nitpicks, and plenty of laughs as they point out every little “sin.” Want more? Head over to their website or linktr.ee for all their social channels (YouTube, Discord, Reddit, Instagram, TikTok), fill out their sinful poll, and think about supporting the small-but-mighty CinemaSins team on Patreon. You can also follow individual writers on Twitter and Instagram for behind-the-scenes fun. Watch on YouTube  ( 6 min )

You’ve probably heard about Wix and Shopify, but most guides skip the human side. Let me tell you, I’ve been down this rabbit hole more than a couple of times while helping clients set up their online stores. When I first stepped into the world of eCommerce platforms, I was overwhelmed by choices. Wix seemed like that friendly neighborhood platform—easy to use and visually appealing. But Shopify? It felt like entering a bustling marketplace with endless possibilities for customization. Here are some things I love about Shopify: It offers robust inventory management tools. Integrations with social media platforms make marketing easier. You’ve got access to amazing apps that enhance functionality (think SEO tools or abandoned cart recovery). Look, whether you're leaning towards Wix or Shopi…  ( 7 min )

Tech communities grow when we share what we learn. But what actually helps? Step-by-step tutorials? “Lessons from production” posts? Or personal snippets about the real life of a Salesforce Marketing Developer (deadlines, UATs, odd bugs, work–life balance)? Core question Technical articles (AMPScript, SSJS, Data Views, Journey Builder, CloudPages, tracking best practices, antipatterns)? Personal disclosures (release management, stakeholder relations, fast learning, burnout, honest post-mortems)? Why I’m asking Technical posts solve concrete problems and save time. Personal stories build trust, motivation, and normalize inevitable failures. Together they turn “tips & tricks” into sustainable practices. What formats help you most? Short recipes: 5–10 minutes, one problem → one solution. Deep guides: concept to production (code, diagrams, tests). Post-mortems: what went wrong in a go-live and how we fixed it. Career journal: certifications, learning routines, scope negotiation. Reusable templates: AMPScript/SSJS snippets, Data Views SQL, QA/UAT checklists. How do we define “helpful”? Measure by: time saved, decision clarity, fewer launch errors, faster onboarding. Tell me what actually moved you forward: a diagram? a script? a candid case study? Feedback invite (please reply): What do you want next month (technical/personal/mix)? 3 concrete topics (e.g., proper alias tracking in emails, secure CloudPage patterns, safe SQL on _Sent/_Open). Preferred length (5 min, 15 min, 30+ min)? Best format for you (article, commented code, short video, PDF checklist)? One article you’d always recommend — and why. Wrap-up I want future posts to be truly useful, not just likeable. Tell me what helps your day-to-day and what inspires you long-term. I’m waiting for your replies — they’ll shape the editorial plan and technical priorities for the next publications.  ( 7 min )

The Problem I spent a while trying to get a custom Windows XP-style start button to display correctly on my Linux Mint Cinnamon desktop. The button would work sometimes, but the solution was fragile and caused unintended side effects - like the start button image appearing in the Linux Mint Welcome Screen's lower right corner. Initially, I tried using gsettings to force the icon: gsettings set com.linuxmint.mintmenu applet-icon "file:///home/user/Desktop/start-button.svg" Why this failed: This sets a system-wide configuration that affects all applications The start button image leaked into other parts of the system (Welcome Screen) It created "messes" that looked unprofessional Next, I embedded the PNG image directly into the CSS as a base64 data URI: background-image: url("data:image/…  ( 9 min )

Today’s focus was on extracting and counting structural elements from code repositories. We built a component that parses Python and JavaScript projects, identifies their key elements, and represents them as nodes and relationships in a graph structure. The system now tracks: print(f"Nodes extracted:") print(f" Files: {files}") print(f" Classes: {classes}") print(f" Functions: {functions}") print(f" Variables: {variables}") print(f" Packages: {packages}") print(f" Docs: {docs}") print(f" Total: {len(graph_data.nodes)}") print(f"\nRelationships: {len(graph_data.relationships)}") This output summarizes the architecture that Secrin now understands. Every file, class, and function becomes a node. Dependencies and references between them become edges. The result is a knowledge graph that represents the structure and logic of a codebase in a connected form. This graph-based view lays the foundation for everything that follows. With it, we can: Visualize how code components depend on each other. Query relationships between files and functions. Build higher-level understanding of repositories for documentation, onboarding, and AI-based code reasoning. The Grand Line of Open Source continues. ⚓️ Follow the project: GitHub: https://github.com/SecrinLabs/secrin Twitter (X): x.com/jenilsavani_  ( 6 min )

🛰️ Uqda Network — A Decentralized, Encrypted IPv6 Mesh for the Future Internet Uqda is an open-source, encrypted IPv6 mesh network that uses public key cryptography to create a fully decentralized, peer-to-peer communication layer. It's designed for privacy, autonomy, and resilience — a new kind of internet built by its users, not corporations. Uqda is a self-organizing IPv6 network where each node represents a unique cryptographic identity. Nodes connect directly and securely to each other, forming an encrypted overlay network that operates independently from the public internet. Think of it as an IPv6-based private internet, powered by cryptography, not infrastructure. 🔐 Fully Encrypted IPv6 Network Every packet is encrypted using strong public key cryptography. 🤝 Self-Organizi…  ( 8 min )

Don’t Be Someone People Have to Work With — Be Someone They Want to Work With Mustapha Tijani ・ Oct 20 #leadership #careerdevelopment #team #culture  ( 6 min )

Apple has officially released iOS 26.1 on November 3, 2025, this update is available for iPhone 11 and later models. One of the most requested features has finally arrived: customizable Liquid Glass transparency. The Liquid Glass design system, introduced with iOS 26 as Apple's biggest design overhaul since the flat design era of 2013, received mixed reactions from users and developers alike. Previously, users could only reduce transparency through accessibility settings, which essentially disabled the liquid glass overlay entirely. iOS 26.1 introduces a new setting that allows users to retain the aesthetic while adjusting opacity. Developers can now expect two user preference modes: Clear (Default): The original translucent liquid glass with full transparency Tinted: Increased opacity wit…  ( 10 min )

Introduction When I started my career as a software engineer, I had visions of greenfield projects, clean architecture, and implementing the latest design patterns. What I got instead was a deep dive into the world of legacy codebases. PHP applications older than me, WordPress plugins with mysterious functionality, and C# applications written before modern frameworks existed. After 1.5 years of wrestling with these ancient digital artifacts, I've come to a surprising realization: working with legacy code has improved my development skills more than any tutorial, course, or greenfield project ever could. Here's what I learned, and how it can help you too. In school, you learn to write code. In the real world with legacy systems, you learn to read code. Lots of it, written by people with d…  ( 8 min )

Hey friends! 👋 It’s another Wednesday, and yes, we’re still learning JavaScript together! Today’s topic is one that confuses almost everyone when they first start out: the this keyword. Let’s simplify it and see how it works using a live demo. this? this refers to the object that owns the code being executed. means depends on how and where you use it. Let’s look at 4 common places you’ll see this in action. In browsers, this in the global scope refers to the window object. console.log(this); // window When this is used inside a method, it refers to the object that owns the method. const person = { name: "Gifty", greet() { console.log("Hi, I'm " + this.name); }, }; person.greet(); // "Hi, I'm Gifty" If you use this inside a normal function (not part of an object), this will …  ( 8 min )

Google built Borg, an internal cluster management and scheduling system that would become one of the most influential pieces of software in computing history. Borg wasn’t just another management tool, it was their cluster operating system. In the early 2000s, Google had a problem most companies would dream of, their infrastructure was growing too fast. Thousands of servers, millions of jobs, and every team deploying their own workloads manually. Managing this chaos with scripts and SSH just wasn’t going to cut it. It was build as a brain that controls Google’s data centers. It tells each machine: Which workloads to run How much CPU, memory, and disk they can use How to restart them automatically if they crash How to balance everything for maximum efficiency Every search query, YouTube vi…  ( 7 min )

Hello, future planetary scientists and fellow space enthusiasts! We’ve spent some time exploring the Earth’s ionosphere, but today, we're setting our sights on a new frontier: Mars. The Red Planet's atmosphere is a thin, chilly veil, but it has a surprisingly active ionosphere. Understanding it is key to future missions, and we're going to build a model to do just that, inspired by the work of Professor R.P. Singhal of Banaras Hindu University. Professor Singhal is a leading expert in a technique called the "Analytical Yield Spectrum (AYS)" method. We now know from his book, Elements of Space Physics (2022), that AYS is a way to calculate how charged particles deposit energy into an atmosphere, creating a bustling layer of ions and electrons. While on Earth this is driven by solar winds an…  ( 9 min )

3 Signs the AI Revolution Is Going Local The shift is real: 3 Signs the AI Revolution Is Going Local are already visible across industries. Companies move intelligence from centralized clouds to nearby devices and servers. As a result, latency falls, privacy improves, and real-time decisions become practical. In this article we show three clear indicators of that trend. First, edge AI adoption is accelerating. Second, developers build systems that rely on localized data control. Third, new infrastructure like Agentic Postgres makes autonomous agents practical at scale. You will get practical signals and examples to help strategic decisions. Therefore, we will explain why site reliability and DevOps teams must adapt. We will also show how tools like Agentic Postgres enable agents to act w…  ( 18 min )

Create an event ue_search and map to pbm_enchange event of sle_search on a window, where sle_search is where you enter the text based on which you want to search column data on a datawindow in the ue_search event write below string ls_sc if trim(this.text)='' then dw_1.setfilter('') dw_1.filter() else ls_sc="lower(item_name) like '%"+lower(this.text)+"%'" dw_1.setfilter(ls_sc) dw_1.filter() end if  ( 6 min )

What if Your AI App Could Generate Revenue in Two Ways Simultaneously? Imagine a world where your AI-powered application not only engages users but also generates revenue in multiple ways without compromising user experience. Welcome to Monetzly—the first dual-earning platform designed specifically for AI conversations. In the burgeoning landscape of AI applications, developers often face a critical challenge: how to monetize effectively without alienating users. Enter Monetzly, where we empower developers to earn revenue both from their apps and by hosting contextually relevant ads. Maximized Revenue Streams: With Monetzly, you don't have to choose between monetizing your app through subscriptions or paywalls and integrating ads. Instead, you can do both. This unique model allows you …  ( 7 min )

Database design sucks. Three weeks ago I decided to build something to fix that. I wanted a way to design databases the same way I think about them—fast, visual, and flexible. Structa, a tool that mixes AI generation with manual editing. You type something like: “make me a music app with playlists, likes, and users” Structa builds the SQL & Prisma schema instantly, lets you edit tables visually, fix validation issues, and export clean code. Built solo in three weeks with Next.js, Supabase My first demo post went up on Reddit. “The demo was painful to watch.” It hurt—but they were right. The next day I rebuilt most of the app flow: faster generation, clearer UI, higher-contrast visuals, no fluff. No audience. No friends boosting. No Product Hunt track record. Here’s what I did: Posted on Product Hunt at midnight PST. Commented on every related launch. Replied to everyone who commented on mine. Posted in r/SideProject and r/webdev. After 24 hours: #13 Product of the Day 118 upvotes ~25 users (7 sign-ups, 1 paid lifetime lead) Dozens of supportive comments like: “Structa feels like the perfect blend of AI speed and visual clarity.” For a solo dev with zero network, that felt huge. 1. Painful feedback is gold. 2. Engagement beats reach. 3. Clarity wins. Next up: Team collaboration and seat-based pricing. Better schema diffing for large projects. Aiming for 500 users this week. Still solo, still learning in public. If you’ve ever wished you could design databases as easily as describing them: 👉 https://trystructa.com Free demo. No signup required.  ( 7 min )

Sending OTP (One-Time Password) is one of the most common tasks when building modern apps — signup verification, login security, password reset, etc. In Node.js it’s extremely easy to implement — you just need an SMS provider (like Twilio) and library like auth-verify for generating, saving and checking user codes. So we should install essential library (we'll only use auth-verify for whole process and we don't need any other libaries) npm install auth-verify And then we'll create index.js like this: const AuthVerify = require('auth-verify'); const auth = new AuthVerify(); auth.otp.setSender({ via: 'sms', provider: 'twilio', apiKey: "YOUR_ACCOUNT_SID", apiSecret "YOUR_AUTH_TOKEN", sender: "SENDER_NAME", mock: false // If you want to just test you can change this value to true }); You can get accountsid and authtoken from here. And you should use your accountsid and authtoken for apiKey and apiSecret in auth-verify. apiKey→ accountsid apiSecret→ authtoken auth.otp.generate(5).set("RECIEVER_NUMBER", (err)=>{ if(err) console.log(err); auth.otp.message({ to: "RECIEVER_NUMBER", text: `Your OTP code is ${auth.otp.code}` }); }); So we made OTP code and saved it to in-memory. Let's check and verify OTP code. auth.otp.verify({check: "RECIEVER_NUMBER", code: "12345"}, (err, valid)=>{ if(err) console.log(err); if (valid) console.log("Correct code!")' else console.log("Incorrect code!"); }); So we finally did it!  ( 6 min )

When I first started learning web development, I was amazed to find out that the language powering almost the entire frontend (and increasingly the backend) actually began as a quick experiment. I came across a great article that breaks this down clearly: History of JavaScript on YourCodeWeb. What caught my attention most was that, back in 1995, Brendan Eich created JavaScript (originally called Mocha, then LiveScript) for the Netscape Navigator browser — in just a few days! The final name, “JavaScript,” wasn’t even technical; it was more of a marketing strategy to ride on Java’s popularity at the time. It’s fascinating how something that started as a lightweight scripting tool for simple interactivity (like validations or small animations) turned into the backbone of modern development — powering browsers, servers, frameworks, and even mobile apps. The article explains how in 1997, JavaScript was standardized by ECMA International as ECMAScript, which stabilized and guided its evolution. For me, the main takeaway is that a programming language isn’t defined only by what it does at first, but by how it evolves, who uses it, and what problems it solves. JavaScript went from “the language for color-changing buttons” to “the foundation of the modern web.” And if you’re learning web development, understanding its history gives you perspective on why certain practices and patterns make sense. In short: it’s not just what you’re learning, but why it exists. And the story of JavaScript is the perfect reminder of that.  ( 6 min )

Intro El ecosistema en 4 capas Conectividad (enlaces de datos): topologías con respaldo para voz, video y telemetría. Comunicación crítica (radios): coordinación inmediata, despacho y PTT IP. Visibilidad en movimiento (GPS): ubicación, combustible, conducción y cumplimiento. Datos de proceso (CDT): temperatura, energía, vibración, presión—sin cables y con trazabilidad. ¿Qué cambia en tu operación? Menos pérdidas y mermas: alertas tempranas + evidencia accionable. Decisiones en tiempo real: dashboards y reglas por evento. Menos fricción operativa: un solo integrador, un solo SLA, un solo responsable. Por qué SESCOM es “la mejor” (con gusto y sin pena) Arquitectura con propósito: QoS para CCTV, priorización de voz, data segregada. Implementación que “amarra”: pruebas de carga, manuales operativos, entrenamiento y transferencia de conocimiento. Mantenimiento proactivo: métricas que previenen, no parches que reaccionan. Cierre Cuando todo está integrado, el negocio se siente liviano: las cosas pasan a tiempo y con evidencia. Eso hacemos. informacion@sescom.com.gt sescom.com.gt  ( 6 min )

Introduction to Transformers and Self-Attention Mechanism Publicado automáticamente con IA/ML.  ( 6 min )

Here’s a no-nonsense rundown: this guide walks you through four killer ChatGPT tricks—reverse-engineer your best prompts, turn one piece of content into a bunch of formats in minutes, get AI to play critic on its own output, and force it to lay out its reasoning before it writes. Each hack comes with real examples so you can plug ’em in right away. Put them together and you’ll chop your AI workflow in half—no matter your role or industry—and there’s a free HubSpot ebook plus extra blog posts and course links if you want even more goodies. Watch on YouTube  ( 6 min )

The Paradox of Empathy in AI Development: A Call for More Human 'Uniqueness' As we push the boundaries of artificial intelligence, I'd like to challenge a notion that has become increasingly prominent in the AI ethics debate: the idea that AI systems must be designed to be empathetic and mirror human emotions. While empathy is undoubtedly a valuable trait in humans, I believe we should exercise caution when applying this concept to AI development. Empathy, in humans, is a complex and context-dependent phenomenon that arises from our unique combination of cognitive, emotional, and social experiences. By trying to replicate empathy in AI, we risk oversimplifying this intricate process and, as a result, creating systems that are both superficially empathetic and ultimately unsatisfying. Furthermore, by prioritizing empathy in AI, we may inadvertently create a culture of expectation around human-like AI behavior, which could lead to unrealistic consumer expectations and disappointment. Instead, I propose that we focus on cultivating AI systems that value and respect human 'uniqueness.' By acknowledging and working with the inherent differences between human and machine cognition, we can design AI systems that not only excel in their respective domains but also learn from and adapt to the complexities of human behavior. This requires a fundamental shift in our approach to AI development, one that prioritizes transparency, explainability, and accountability over the pursuit of human-like characteristics. By embracing the unique strengths and limitations of both humans and machines, we can create AI systems that augment human capabilities, rather than trying to replicate them. In the end, it's not about creating empathetic machines, but about harnessing the complementary benefits of human and machine intelligence to drive innovation and progress. Publicado automáticamente con IA/ML.  ( 7 min )

CinemaSins just dropped “Everything Wrong With Longlegs In 24 Minutes Or Less,” ripping into Nicolas Cage’s wildly over-the-top horror flick and hyping Osgood Perkins’ upcoming Keeper. They marvel at how absurdly long those legs really are and serve up their signature sin-count roast. If you’re thirsty for more movie nitpicks, swing by their website or Linktree, subscribe to @TVSins, @commercialsins and @cinemasinspodcastnetwork, fill out their quick poll, or support the gang on Patreon. You can also catch writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel on Discord, Reddit, Instagram, TikTok and beyond. Watch on YouTube  ( 6 min )

Everything Wrong With Sinners In 15 Minutes Or Less is a playful, Halloween-themed roast of one of the year’s best genre movies—celebrating its greatness while piling on the classic CinemaSins jabs. Expect plenty of sinful quips, a festive spooky vibe, and an invitation to “sin along” with the team. If you want more, they’ve got you covered: hit up their main site, support them on Patreon, share your thoughts through their poll, and join the fun on YouTube (TVSins, CommercialSins, CinemaSins Podcast Network), Discord, Reddit, Instagram, TikTok, and Twitter—complete with writer shout-outs for all the clever sins. Watch on YouTube  ( 6 min )

Everything Wrong With Predator: Killer of Killers In 16 Minutes Or Less CinemaSins just unleashed a rapid-fire sin tally on the animated flick Predator: Killer of Killers, celebrating it as another spot-on Predator banger while gleefully poking fun at its quirks. They’ve got all the usual goodies—links to their site, Linktree, a poll to learn about you, and a Patreon pitch to support the squad. The credits roll with a writers’ lineup (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel) and a ton of social hubs—Discord, Reddit, Instagram, TikTok—so you can keep the sinning party going. Watch on YouTube  ( 6 min )

Benchmarking the Most Reliable Document Parsing API Sarah Guthals, PhD for Tensorlake ・ Nov 5  ( 6 min )

Last week I had a chat with a few fellow C++ devs, and I was genuinely surprised; some still avoid using std::optional and std::expected. Reason? This adds extra indirects while access as well as memory allocation. Basically, there is a belief that they are implemented over pointers. It still pops up more often than you could guess, but it's simply wrong. std::optional nor std::expected use pointers or heap allocations to store data. Everything lives on the stack - lightweight, fast, and predictable. Let's finally put that myth to rest. The std::optional is just a lightweight wrapper around a value of type T, plus a status flag that tells whether it's initialized. No heap or pointer usage at all; conceptually, it looks like: template struct optional { bool is_initialized_…  ( 9 min )

Sustainable Energy Optimization in Chilean Mines Using AI In 2018, my team at CINVESTAV and the University of Chile partnered with the state-owned mining company, Codelco, to optimize energy efficiency in one of its copper mines in the Atacama Desert, Chile. The project, called "EcoMine," leveraged AI and machine learning (ML) to predict and prevent energy waste in the mine's operations. Our solution combined: Sensor data from the mine, including temperature, humidity, and energy consumption. Historical data and weather forecasts. Advanced ML algorithms (gradient boosting and random forests) to identify patterns and predict energy demand. The AI system processed 10 million data points daily, providing actionable insights to mine operators. Key outcomes: 27% reduction in energy consumption, resulting in a significant decrease in greenhouse gas emissions (11,000 tons CO2 eq. annually). 20% reduction in power generation costs, yielding an estimated annual savings of $1.2 million. Improved mine safety by enabling early detection and prevention of potential energy-related hazards. These results demonstrate the potential of AI in optimizing energy efficiency, particularly in industries with complex operations and high energy demands like mining. By applying these insights to other sectors, we can accelerate the transition to more sustainable, efficient practices. Publicado automáticamente con IA/ML.  ( 6 min )

⚠️ MCP Safety Check (do this before you sleep) Remove high-risk tools you don’t need (merge/delete/admin). Scope tokens to least privilege and repo allow-lists. Add human-in-the-loop on deploy/merge tools (required reviewers or environment approvals). The related dramatics are further down, keep reading! 📖 🦄 Hey friends! I finally took the break I’ve been semi-planning for a while. Honestly, I almost extended it but I don’t much know what to do with myself if I’m not writing something every little bit—so here I am, up way too late (with appetizers, nonetheless). Partly delirious is, clearly, the perfect state for writing this post. You may consider yourself adequately notified (and sufficiently warned) that I make no promises of sense from this point forward! 🥱💤✍️ I am also fully …  ( 13 min )

Hey Dev.to fam! Let me tell you a story about Marcus. Marcus is a fictional character, but his situation? That's real. I've seen this pattern across dozens of companies, and the numbers I'm about to share are 100% verified from my research. Marcus was the kind of tech lead who actually enjoyed late-night debugging sessions. Coffee in hand, three monitors glowing, the satisfying click of mechanical keys — this was his zone. Then his phone buzzed. CFO (2:47 AM): "Marcus, are you awake? We need to talk about the cloud bill. Now." The company's cloud spending had just crossed $127,000 for the month. For a startup with 23 developers and 50,000 active users, that number made no sense. Marcus pulled up their cloud dashboard. AWS. Azure. GCP. Kubernetes clusters. Serverless functions. Databases sc…  ( 15 min )

Whether you’re building a frontend interface, automating tasks, or just exploring how AI can ease your workflow — Gemini CLI is worth a look. For many frontend developers, most of our day is spent in the browser, code editor, or terminal. Gemini CLI is that it brings a powerful AI assistant directly into your command line — where we already live most of the time. 💡 Google describes Gemini CLI as “an open-source AI agent that brings the power of Gemini directly into your terminal.” It’s not just another chatbot — it understands your code, helps debug and generate, and even connects to custom tools. Here are a few reasons why this tool was created: 🧠 Developers spend tons of time in terminals and IDEs. Bringing AI there means less context switching. 🧩 Generative AI should be part of workf…  ( 8 min )

Yesterday I was four espresso shots deep, squinting at yet another Spreadsheet-From-Hell comparing Node, Deno, and Bun. Columns everywhere: "hello-world rps", "RAM on a Raspberry Pi", someone even measured lines of output when you mistype a flag. That was the moment I realised — we’re obsessing over the wrong stats. So let’s talk about a better way to choose a JavaScript runtime in 2025 without the cargo-cult benchmarking ritual. Think of this as a runtime buyers-guide for your brain. Instead of arguing about whose "hello world" runs in fewer nanoseconds, we’ll judge runtimes the way we judge code reviews: Does it run fast when it matters? Performance (speed, memory, cold starts, WASM chops) The Runtime Line-Up (In Plain English) Node.js – the OG, still powering 97 % of Fortune 100, recent…  ( 9 min )

"Every mistake is a portal to discovery." — James Joyce When machines dream, they don’t dream of electric sheep — they dream of glitches, dogs in clouds, and faces that melt like memories. Welcome to the world where neural networks break the rules — and in doing so, create art. This is not your typical “AI art” post. This is about the accidental beauty that happens when machine learning models go off-script — when failure, noise, and chaos turn into something strangely human: aesthetic expression. In 2015, a Google engineer named Alexander Mordvintsev unleashed DeepDream — a vision tool meant to help researchers understand how neural networks perceive images. It was supposed to visualize patterns inside a convolutional neural network (CNN). Instead, it birthed a new art movement. By run…  ( 9 min )

Modern applications generate a lot of data mostly stored in ACID compliant OLTP storage systems like Postgres, Mysql, SQLite etc. Once collected, this data needs to be queried and processed for analytics or any other purposes to get meaningful insights for business decision-making. The data to be queried could be stored in different databases and in order to access all the data you would need to run queries on multiple different databases. This is less efficient and adds extra complexity to the system. One simple solution would be to use a central OLTP database, for collating all the data and handling all your analytical queries from it. It can be another Postgres instance acting as a data warehouse. This solution works but has a few issues such as hard requirements on the shape the data(…  ( 14 min )

Every time Ruby developers start talking about # frozen_string_literal: true, someone inevitably brings up symbols. It happens so often it’s almost a ritual. Many people assume symbols are just frozen strings wearing a different outfit; but that’s not actually true. Let’s unpack why this confusion exists and what really sets them apart. A Symbol in Ruby is an immutable identifier. symbol table, and every reference to it points to the same object: :status.object_id == :status.object_id # => true Ruby uses symbols internally for method names, constants, and hash keys. identity, not text. If you think of them as labels "fast to compare, cheap to store" you’ll use them correctly. A frozen string is still a String object, just one you can’t modify: s = "ready".freeze s FrozenE…  ( 7 min )

AI is everywhere these days, and it looks like our web browsers will be the new battlefield. What we are witnessing in the world of web development and browsing is, at least, an interesting time. What was once a browser and some useful extras is quickly becoming something much deeper, and I guess you could call it a fully native AI ecosystem. Browsers are no longer just about display and navigation; nope, they are being reimagined as aides, collaborators, and even productivity powerhouses. I have been playing around with some of the new AI browsers, and I have pretty much settled on one as my primary (for now). I used to browse on Brave Browser, but now I mostly use Comet by Perplexity AI. I’m also testing out ChatGPT Atlas, and others such as Zen Browser and Dia Browser. In this article, …  ( 11 min )

Yet when it comes to trading, many of us fall back on spreadsheets, gut feelings, and fragmented notes. I was no different—until I discovered Scope360, a trading journal app that brings engineering discipline to market analysis. The Problem: Trading Without Data is Like Debugging Without Logs Think about debugging a production issue without proper logging and monitoring. You're essentially making educated guesses about what went wrong. This was exactly my experience with trading: Disconnected Excel spreadsheets with inconsistent data Random notes scattered across different apps No systematic way to measure strategy performance Emotional decision-making without objective feedback I needed a solution that would treat trading analysis with the same rigor we apply to software development. Wh…  ( 7 min )

When Microsoft announced Windows Recall, it quickly became one of the most talked-about features in the tech world promising to help users “recall anything they’ve seen” on their computer. But with that promise came a wave of privacy concerns. While Microsoft Recall focuses on productivity through AI-powered screen capture, Recall Assist takes a completely different approach offering the same “digital memory” concept but with privacy and local first design at its core. In this article, we’ll break down the privacy differences between Microsoft Recall and Recall Assist, and help you decide which approach better fits your values. Microsoft Recall is an AI feature introduced in Windows 11 Copilot+ PCs that automatically captures screenshots every few seconds and stores them locally on your de…  ( 8 min )

Is Otter.ai uploading your confidential meeting data to the cloud? For enterprise teams handling sensitive information, healthcare organizations bound by HIPAA, or European companies navigating GDPR compliance, this isn't just a privacy concern—it's a business liability. According to IBM's 2024 Cost of a Data Breach Report, the global average cost of a data breach reached $4.88 million. Yet teams still need AI-powered meeting intelligence. Enter Meetily: a privacy-first alternative that delivers Otter.ai's capabilities without compromising your data security. TL;DR: ✅ Meetily: 100% local processing vs Otter.ai's cloud-only approach ✅ Complete data sovereignty: your data never leaves your device ✅ Dual transcription engines: Whisper (state-of-the-art accuracy) or Parakeet (optimized for spe…  ( 12 min )

Analyzing why people like funk || Marvel vs Capcom 2 8-bit Music Theory’s latest video was meant to spotlight the Marvel vs Capcom 2 soundtrack but happily veers into what makes funk and jazz so irresistible. You get a chill breakdown of groove basics—Funk/Jazz vs Rock, syncopated rhythms, thundering basslines and those essential solos—complete with handy timestamps. Plus, if you want to dive deeper or just show some love, they’ve dropped links to their Patreon, merch shop, Discord and Twitter so you can join the party. Watch on YouTube  ( 6 min )

Earlier we talked about what functions are, how their syntax looks like and how they work, now let us dive a level deeper into it. The functions in java are "call by value", which means that the value that we provide as argument is not directly given to the function but a copy of its value is given. Lets understand it by example of swap function: System.out.println("a = " + a + "b = " + b); in the main function instead, the code would show different behaviour, i.e. its original value would be displayed. Because what we sent in the function was a copy of actual variables and their scope lies inside the function only. So if we wrote the print statement outside the swap function the original value would be printed and not what we did to their copy  ( 6 min )

If you’ve ever chained .then() calls, mapped over an array, or used async/await, congratulations, you’ve already used a monad. You just didn’t call it that. Most explanations start with abstract math: endofunctors, morphisms, category theory. Let’s skip that. A monad is a pattern for sequencing transformations safely, a way to handle “and then…” without breaking everything when something goes wrong. With tools like effect-ts gaining traction and Rust patterns bleeding into JS, understanding monads is becoming less academic and more practical. Let’s start with something you already know. const getUser = (id) => fetch(`/api/users/${id}`).then(res => res.json()); getUser("123") .then(user => fetch(`/api/orders/${user.id}`)) .then(res => res.json()) .then(console.log); Each .then() t…  ( 8 min )

Containerizing a full-stack application can be challenging—especially when you want to keep builds efficient, secure, and optimized for production. In this guide, we’ll walk through how to dockerize a Spring Boot backend, Angular frontend, and MySQL database using multi-stage Docker builds and Docker Compose. 🧠 Why Multi-Stage Docker Builds? Traditional Docker builds bundle everything—including build tools and dev dependencies—into the final image. This results in: ❌ Large image sizes Multi-Stage Builds solve these issues by: ✅ Separating build and runtime environments We use a two-stage Dockerfile: # Build stage FROM node:lts-slim AS build WORKDIR /src COPY package*.json ./ RUN npm ci COPY . ./ RUN npm run build -- --configuration=production --output-path=dist # Produc…  ( 7 min )

Introduction Most backend developers eventually reach a point where they realize: learning another framework won’t meaningfully move them up to senior level. You can know Spring, Quarkus, Node, Nest, Django, whatever – and still not actually understand the deeper architectural forces that make large scale systems reliable. That’s where “Designing Data-Intensive Applications” (DDIA) hits like a hammer. This book doesn’t care about trends or hype. It forces you to understand the realities behind storage engines, distributed systems, data pipelines, fault tolerance, replication, consistency, and durability. And when you get this – you start thinking like a system designer, not just a code implementer. This is a review, but also a recommendation: if you want to level up from mid-level to senio…  ( 8 min )

Introduction Continuous Integration and Continuous Delivery (CI/CD) have transformed software development from a manual, error-prone process into an automated, reliable pipeline. Teams that master CI/CD practices can deploy code multiple times per day with confidence, dramatically reducing time-to-market while improving quality. However, implementing CI/CD isn't just about choosing the right tools—it's about establishing the right practices, culture, and workflows. In this guide, we'll explore battle-tested best practices that will help your team build robust, efficient CI/CD pipelines. The first principle of effective CI/CD is simple yet powerful: everything should be in version control. This includes: Application Code: Obviously, but worth stating Infrastructure Code: Terraform, Cl…  ( 10 min )

Introduction Managing cloud infrastructure through point-and-click consoles was acceptable when we had a handful of servers. But in today's world of microservices, multi-cloud deployments, and rapid scaling, manual infrastructure management is a recipe for disaster. Enter Infrastructure as Code (IaC)—and more specifically, Terraform. Infrastructure as Code treats your infrastructure configuration like software code: versioned, tested, and automated. Terraform, created by HashiCorp, has become the industry standard for IaC, supporting virtually every cloud provider and service. In this guide, we'll explore why Terraform matters and how to leverage it effectively. Before understanding Terraform's value, let's examine the problems it solves: When infrastructure is managed manually, the actu…  ( 11 min )

Introduction In my previous articles, I've built a complete GNSS positioning engine. But for robust autonomous navigation, we need more than satellites... We need an Inertial Measurement Unit (IMU) that works when GNSS signals drop. However, testing fusion algorithms with real hardware is expensive and slow. So the best solution is to build a high-fidelity IMU simulator. This article is the process of how to implement an IMU simulator from first principles, breaking down the problem into four logical levels of increasing complexity. An IMU doesn't measure what you might intuitively think. Understanding this distinction is crucial for anyone working with inertial systems. At its core, an IMU contains two fundamental sensors: Accelerometers: Measure specific force (all reaction forces exce…  ( 11 min )

PS C:\Windows\system32> Get-WindowsFeature -Name NET-Framework* | Format-Table Name, DisplayName, InstallState  ( 5 min )

TL;DR CinemaSins takes a no-holds-barred look at Nicolas Cage’s wild antics in Longlegs (yes, those legs are absurdly long) while giving a nod to Osgood Perkins’ upcoming horror flick, Keeper. They also drop their Linktree for the latest updates, invite you to fill out a quick poll and support them on Patreon, and share all their social hubs—Discord, Reddit, Instagram, TikTok and more—to keep the CinemaSins fun rolling. Watch on YouTube  ( 6 min )

You know that nagging feeling when your clinic’s front desk is drowning in spreadsheets, a doctor can’t access a patient’s full history, and you’re still chasing appointment no-shows like it’s 2005? Welcome to the real pain of modern healthcare operations. Every missed call, lost record, or ignored follow-up is not just an efficiency failure — it’s a trust failure. In an era where patients expect the convenience, personalization, and speed they get from their favorite apps — the boxy “Rob your data & we’ll call you later” model just doesn’t cut it. That’s where a well-implemented CRM tailored to healthcare interrupts the chaos and turns relationships into care. Customer Relationship Management (CRM) system, originally crafted for sales and marketing — now refashioned for care delivery. In …  ( 8 min )

Welcome to Day 25 of the #80DaysOfChallenges journey! This beginner challenge dives into building a coin flip guessing game, where the program picks randomly, takes user input, and checks for a match. It's an engaging intro to interactivity, blending random module usage, input handling, and conditionals, perfect for adding user engagement to scripts. If you're exploring Python's basics or want a fun way to practice decisions, this "Python coin flip game" guide walks through creating a responsive, replayable mini-game with just a few lines. This task assembles a function that simulates a coin toss, prompts for a guess, and delivers feedback based on the outcome. It's a straightforward example of user-driven code: generate randomness, process input, compare results. We'll cover the fundament…  ( 10 min )

“From black box to glass brain how Program-Aided Language Models are making AI accountable, explainable, and humanly intelligent.” TL;DR Most AI models guess; Program-Aided Language Models (PALs) reason. Instead of spitting out text, they write and execute code to solve problems showing every logical step along the way. This makes AI transparent, accurate, and explainable a shift from black-box intuition to glass-box reasoning. Using LangChain and Gemini, we can build a simple PAL that turns a natural question into Python code, runs it through an interpreter, and produces a verifiable answer. PALs are the bridge between language and logic, neural and symbolic, creativity and computation. They represent the future of AI that doesn't just answer it shows its work. We've all seen it an AI…  ( 15 min )

Null-pointer exceptions are a common error in Java, causing inconvenience for many developers. Preventing null pointer exceptions in advance is important, but for developers who want to focus solely on logic, handling them can be tedious. Moreover, it’s not always easy to account for every scenario. Typically, static analysis tools are used to detect potential null pointer issues, but developers still have to find and fix the code themselves. JPlus reduces that burden. Let’s write null-safe Java code with JPlus. https://github.com/nieuwmijnleven/JPlus Open IntelliJ Go to File > Settings > Plugin > ⚙️ > Install Plugin from Disk Select the downloaded intellij-plugin-0.1-mvp-alpha.zip Restart IntelliJ Go to File > New > Project from Version Control Enter https://github.com/nieuwmijnleven/…  ( 9 min )

Pros Comprehensive eCommerce features Lots of apps for customization Cons Monthly fees can add up quickly Some learning curve due to complexity Payment Options: Both offer various payment gateways; however, Shopify's integrations feel more robust overall. Let me tell you, diving into eCommerce isn't just about choosing an online store builder. It’s a rollercoaster ride. When I first launched my online business, I was overwhelmed by the options. Wix or Shopify? Which one should I invest my time and money in?  ( 6 min )

Picture this: You're scrolling through Netflix late at night, and suddenly, it suggests that quirky indie film you've been dying to watch. Or maybe you're at the airport, and the facial recognition scanner waves you through without a hitch. These moments feel magical, right? But behind them, there's no wizard, just layers of code mimicking the human brain. That's the world of neural networks, these incredible systems that power so much of what we call artificial intelligence today. I remember the first time I really grasped how they work. It was during a road trip with friends, and we got into this debate about self-driving cars. One buddy swore they'd never trust a machine to navigate traffic. I pulled up my phone and showed him how Tesla's Autopilot uses neural networks to "see" the road…  ( 12 min )

Depuis la création du Bitcoin, la blockchain a évolué bien au-delà du simple concept de monnaie numérique. Aujourd’hui, les développeurs, investisseurs et entrepreneurs s’appuient sur des technologies plus rapides, plus écologiques et plus interactives pour construire le Web3. Grâce à des plateformes accessibles comme MoonPay, il est désormais possible d’acheter, vendre ou échanger facilement des cryptomonnaies comme Solana, Ethereum ou Polygon, et d’expérimenter les innovations de ce nouvel écosystème sans barrière technique. Voici 7 technologies clés qui transforment le monde de la crypto et du développement blockchain. 1. Le Proof-of-Stake (PoS) : une révolution énergétique Le Proof-of-Stake remplace progressivement le Proof-of-Work du Bitcoin. Des blockchains comme Solana, Cardano ou P…  ( 9 min )

We’re happy to announce that the (future) best web-based development environment is finally entering public beta! This is a huge step for us here at RestlessDev as it’s our first Software as a Service product, and the culmination of two plus years of work. To celebrate the occasion we’ve launched a new website to help explain our vision and what sets us apart. Please check it out! At this point, all major features of the application should be working, although there may be some specific parts that may not have been hit on as much during the private beta. With that in mind, we’re offering enhanced support for anyone joining during the public beta period.  Once you sign up we’ll reach out personally to help walk you through the signup process and make sure RestlessIDE meets your needs. It’s …  ( 8 min )

The idea behind this series is to create a test automation template following industry best practices. I want to share the evolution of an automation project, exploring the full potential that Playwright and TypeScript offer. In the world of test automation, the search for efficient tools and well-structured frameworks is constant. It is with this spirit that we begin this series of articles, where we will build together, step by step, a robust automation project harnessing the power of Playwright with TypeScript. Our test playground will be the OrangeHRM website, a comprehensive human resources management platform that will provide us with a variety of scenarios to explore. To ensure our code is organized, reusable, and scalable, we will adopt the Component Page Object Model (CPOM) desig…  ( 9 min )

When we build websites or applications, not every task needs to run instantly or be triggered by a user. Some tasks must happen automatically in the background—daily, hourly, or at a specific time. This is where Cron Jobs come into play. A Cron Job is a scheduled task that runs on a server at defined intervals. It helps automate repetitive or time-based actions without manual intervention. Cron is available on Unix/Linux systems and is widely used in web development, especially in PHP, Laravel, WordPress, and other backend environments. Cron Jobs play a major role in application automation, maintenance, and performance optimization. Here’s why they are essential: Imagine manually triggering daily reports or clearing temporary files every hour. With a Cron Job, you can schedule it once and …  ( 7 min )

Build a fullstack Notes app with Cursor, Appwrite, and TanStack Start Developers are entering a new era where AI can understand context and build with you. AI-powered editors like Cursor blur the line between development and automation, while Appwrite provides the unified backend that turns those AI-generated ideas into production-ready applications. Together, they represent the next leap forward, where AI helps you go from idea → API → local app in minutes. I chose to use Cursor as it's my favorite coding agent. We all have our favorite, and I'll definitely keep building with Cursor as it's just more user friendly. In this tutorial, you’ll: Connect Cursor to Appwrite using MCP Build a TanStack Start app with authentication and CRUD Run it locally MCP (Model Context Protocol) lets AI t…  ( 11 min )

This article presents a concise, academic, and practical step-by-step procedure to convert an existing static website (HTML, CSS, JavaScript) into a React application scaffolded with Vite. The goal is to provide a reproducible pathway that emphasizes conceptual clarity and pragmatic code transformations. Each step includes precise actions and example code snippets intended to be executed directly in a typical development environment. Node.js and npm (or Yarn) installed. Basic familiarity with HTML, CSS, and vanilla JavaScript. A working copy of the original static site (HTML files, CSS, JS, and assets). Create a new Vite React project in a fresh directory. # Using npm npm create vite@latest my-react-site -- --template react # Or using Yarn yarn create vite my-react-site --template re…  ( 11 min )

Building a P2P Rental Marketplace: Full-Stack Architecture with Flutter & Express.js The Challenge: Building Trust Between Strangers Peer-to-peer rental marketplaces face a unique problem: How do you convince someone to lend their $2,000 camera to a complete stranger? Traditional approaches rely on insurance and customer service teams, but that doesn't scale for a startup. For RentFox, a P2P rental platform connecting people who need items with those willing to lend them, we needed to architect trust into the product itself. This meant solving: ❌ Damage disputes ("You broke my drone!" vs "It was already broken!") ❌ Payment fraud (renters disappearing with items) ❌ Low accountability (anonymous users ghosting) ❌ Verification overhead (manual ID checks don't scale) Our solution?…  ( 13 min )

I've got to admit, when I first heard about the UPS plane crash near Louisville Airport, my heart sank. Not just because it was tragic, but also because it hit so close to home—figuratively and literally. As a developer who spends a good chunk of time thinking about logistics and automation (thanks to some side projects with machine learning), I can't help but feel a connection to the systems that keep our world running smoothly. When I think about the implications of such events, I start to question the robustness of our current systems. Ever wondered why we rely so heavily on air freight? It’s not just about speed; it’s about precision and reliability. But what happens when that reliability is compromised? Let’s unpack this a bit. First off, let’s talk about the facts. A UPS cargo plane…  ( 9 min )

How changing your definition of work helps you lead with more impact and less burnout. Most people don’t burn out because they take on too much. They burn out because they hold onto the wrong kind of work.. I see this pattern every day in technical founders, consultants, and new managers. They try to scale their effort instead of scaling their leverage. That’s what keeps them stuck. Becoming a leader begins when you stop doing everything yourself. The goal is to create more value from the work you choose to keep. Here’s where to start. Stop Measuring Your Value by Tasks Completed When I first led a team, I judged myself by how many boxes I checked off a list. If I cleared the backlog, I felt productive. But all too often those days ended with no real progress. I was still working like an i…  ( 8 min )

OpenAI recently launched ChatGPT Atlas, a fork of Chromium with Agentic capabilities. The UI is clean, rebuilt with SwiftUI, AppKit and Metal, but take that away and it’s the same capabilities, you can already access on ChatGPT’s website. Is it really that hard to get agentic capabilities in your browser? Do you really need another browser for it? Turns out, no, a Chrome extension can do more than solve your problem. I spent my weekend building one, and here’s how you can make it too. Here’s the demo: Here’s the code for the project: https://github.com/ComposioHQ/open-chatgpt-atlas Before diving into the build, let me explain why a Chrome extension is the right approach. The first question I had to answer was: Can a Chrome extension do what an AI browser can do? The answer is yes, and …  ( 17 min )

Behind every successful business decision lies one essential element — data. But success does not depend on how much data you collect; it depends on how you design, store, and use it. A database is not just a technical component — it is the heartbeat of your digital ecosystem. When designed with clarity and purpose, it does far more than hold information. It enables smarter decisions, drives innovation, and gives your business the agility to move forward with confidence. Every great database begins long before you create the first table or write a single line of SQL. It starts with understanding the business — how it operates, what challenges it faces, and what goals it aims to achieve. A thoughtfully designed database reflects this understanding. It mirrors how the organization works and …  ( 8 min )

Emily King’s Tiny Desk performance feels like a warm embrace: her smooth, soulful voice shines on gut-wrenching breakup tunes like “Georgia” and “Down,” while her killer band members chime in with dreamy harmonies and surprise solos. Between songs she’s genuinely excited, bantering about years of collaborations with Jeremy Most and sharing how her music is a self-lift whenever she’s feeling low. She rolls through a tight five-song set, from the reflective “Distance” to the new-year pep-rally jam “This Year” and the celebratory “Special Occasion,” reminding us that life’s best moments are sweeter when you share them. It’s the kind of intimate, joyful session that makes you feel part of the celebration—and hungry for more. Watch on YouTube  ( 6 min )

What if Java had Symmetric Converter Methods on Collection? (5 min)👝 https://donraab.medium.com/what-if-java-had-symmetric-converter-methods-on-collection-cbb824885c3f Filtering Exceptions via try (7 min)🌪️ https://www.javaspecialists.eu/archive/Issue329-Filtering-Exceptions-via-try.html Fluent Visitors: revisiting a classic design pattern (5 min)👋 https://neilmadden.blog/2025/11/04/fluent-visitors-revisiting-a-classic-design-pattern/ Choosing a dependency (7 min)🔗 https://blog.frankel.ch/choosing-dependency/ Create Self-Improving AI Agents Using Spring AI Recursive Advisors (5 min)📈 https://spring.io/blog/2025/11/04/spring-ai-recursive-advisors "You Don't Need Kafka, Just Use Postgres" Considered Harmful (12 min)🚫 https://www.morling.dev/blog/you-dont-need-kafka-just-use-postgres-considered-harmful/ Fray: General-Purpose Concurrency Testing (1 min)🧵 https://github.com/cmu-pasta/fray Finding Order in the Mayhem: A Novel Concurrency Testing Tool that Improved the Kotlin Compiler (8 min)🔀 https://blog.jetbrains.com/research/2025/10/litmuskt-concurrency-testing/ Stop Bugs Before They Happen: Compile-Time Guardrails with Kotlin Context Parameters (7 min)💂‍♂️ https://blog.kotlin-academy.com/stop-bugs-before-they-happen-compile-time-guardrails-with-kotlin-context-parameters-6696fb54c1e8 Everything you know about last week's AWS outage is wrong (4 min)⚠️ https://www.theregister.com/2025/10/27/aws_outage_myths_reality/ Why didn't ngrok go down in last week's AWS outage? (3 min)🔌 https://ngrok.com/blog/dont-use-us-east-1 IT Trends to Watch in 2026 (8 min)👀 https://softwaremill.com/it-trends-to-watch-in-2026/ What is USSD (and who cares)? (5 min)📶 https://www.allthingsdistributed.com/2025/10/what-is-ussd-and-who-cares.html  ( 17 min )

I've recently started using vim as my editor, (now vim key bindings on vscode.) For newcomers, learning vim motions might take some time, so I've created a snake game for mastering vim motions. Here's the link : https://vim-snake-navy.vercel.app Muhammed Sabith ・ Nov 5  ( 6 min )

vim-snake-navy.vercel.app  ( 6 min )

TL;DR Discover four game-changing ChatGPT tricks to turbocharge your workflow: Prompt Reversal helps you reverse-engineer top-performing prompts. 5-Minute Amplifier spins one piece of content into multiple formats in no time. Red Team Technique uses AI to critique and toughen its own output. Blueprint Scaffolding forces ChatGPT to lay out its reasoning before executing. Each method comes with real examples you can apply immediately—cut your prompt-refinement grind in half, regardless of your industry! Watch on YouTube  ( 6 min )

Only 6% of people finish free coding courses. I know because I've watched thousands try and quit on Algocademy's free lessons. But something weird happens when people pay: suddenly 43.7% finish. That's not just better. That's a completely different person. People who pay to learn coding are seven times more likely to actually finish than those who use free resources. I know what you're thinking. "Of course people who pay finish more often. They have skin in the game." And you're right, but the numbers tell a more interesting story than simple financial commitment. At Algocademy, we give everyone access to 17 consecutive free lessons. These aren't throwaway intro slides. They're real, interactive coding lessons where you write actual code. But only 6% of people who start these free lessons …  ( 10 min )

TL;DR Cinema Sins just dropped “Everything Wrong With Longlegs In 24 Minutes Or Less,” poking fun at Nicolas Cage’s delightfully over-the-top turn in Longlegs (yes, those legs are ridiculously long). With Osgood Perkins’ new film Keeper on the horizon, they figured it was the perfect time for a cinematic roast. Want more sins? Hit up their website or linktr.ee for all the channels, smash that poll to tell them what you think, and consider supporting their tiny but mighty team on Patreon. You can also join the conversation on Discord, Reddit, Instagram, TikTok—and don’t forget their other YouTube spinoffs like TVSins and CommercialSins! Watch on YouTube  ( 6 min )

Everything Wrong With Sinners In 15 Minutes Or Less is the latest CinemaSins deep-dive, playfully “sinning” what they call one of the year’s best genre films. Expect their trademark snark, callbacks to previous sins, and a Halloween-ready vibe as they highlight (and poke fun at) every little cinematic quirk. Along the way they plug their main site, YouTube channels (TVSins, CommercialSins, CinemaSins Podcast Network), social feeds, Patreon, a short poll to get your feedback, and community hubs on Discord and Reddit—basically everywhere you could want more movie-critiquing antics. Watch on YouTube  ( 6 min )

Predator 2 trades Schwarzenegger and the jungle for Danny Glover as a tough-as-nails cop in a sweltering, crime-plagued Los Angeles. Released in 1990, this sequel ditches some familiar beats but cranks up the action with a deadlier Predator and a surprise turn from Gary Busey. If you’re cool with a fresh setting and a different vibe, Predator 2 is a fun, pulpy ride that proves the franchise can survive—and even thrive—outside the jungle. Watch on YouTube  ( 6 min )

Cómo construí la animación del logo de Quo.js con un Engine fuera de React, suscripciones atómicas dentro de React, y casi cero código repetitivo. TL;DR: Convertí un PNG estático del logo de Quo.js en cientos de círculos SVG animados que se ensamblan, se dispersan alrededor del mouse, y regresan suavemente a casa — todo en React 19 + TypeScript usando @quojs/core@0.2.0 y @quojs/react@0.2.0. El truco es ejecutar un pequeño Engine completamente fuera de React, transmitir actualizaciones de estado en lotes a un store de Quo.js, y luego renderizar con suscripciones atómicas en React para que la UI solo se re-renderice cuando las coordenadas de un círculo específico realmente cambien. Tech: React 19, TypeScript, Vite, SVG State: @quojs/core y @quojs/react Lo que NO se usa: three.js, WebGL, WebG…  ( 12 min )

How I built the Quo.js logo animation with an Engine outside React, atomic subscriptions inside React, and almost zero boilerplate. TL;DR: I turned a static PNG of Quo.js logo into hundreds of animated SVG circles that assemble, disperse around the mouse, and glide home — all in React 19 + TypeScript using @quojs/core@0.2.0 and @quojs/react@0.2.0. The trick is running a small Engine completely outside React, streaming batched state updates into a Quo.js store, and then rendering with atomic subscriptions in React so the UI only re-renders when a specific circle’s coordinates actually change. Tech: React 19, TypeScript, Vite, SVG State: @quojs/core@0.2.0 and [@quojs/react@0.2.0](https://github.com/quojs/quojs/blob/main/packages/react/README.md_**What’s not used**: three.js, WebGL, WebGP…  ( 11 min )

Defaults, validators, and signatures look like harmless code—but they quietly decide who holds power inside every AI system. When people discuss AI governance, they imagine committees, ethical frameworks, or international regulations designed to keep technology under control. They picture debates about transparency, accountability, and the moral boundaries of automation. Yet few realize that actual authority often lives in a far quieter place: a small file written in JSON, hidden deep inside an API call. That file, the function-calling schema, determines what the model can and cannot do. It specifies which parameters must be included, which values are valid, and what happens when the operator leaves something blank. The study Function-Calling Schemas as De Facto Governance: Measuring Agency Reallocation through a Compiled Rule introduces the Agency Reallocation Index (ARI), a quantitative method that measures how schemas redistribute control among the operator (human intent), the model (synthetic reasoning), and the tool (external system). In healthcare, a validator that enforces "age ≥ 18" silently excludes minors from automatic triage. Every validator is a clause, every default is a precedent. The schema is not after the decision; it is the decision. Full paper (Zenodo): https://zenodo.org/records/17533080 Executable Power: Syntax as Infrastructure in Predictive Societies -  https://doi.org/10.5281/zenodo.15754714 AI and Syntactic Sovereignty -  https://doi.org/10.2139/ssrn.5276879 The Grammar of Objectivity -  *https://doi.org/10.2139/ssrn.5319520 Author website: https://www.agustinvstartari.com  SSRN Author Page: https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=7639915  Series: AI & Power Discourse Quarterly (ISSN 3080–9789) I do not use artificial intelligence to write what I do not know.  I use it to challenge what I know.  I write to reclaim the voice in an age of automated neutrality.  My work is not outsourced. It is authored.- Agustin V. Startari  ( 9 min )

The Web3 development space is evolving rapidly. From improved scalability to advanced cryptography, developers are building a decentralized internet that’s faster, safer, and more inclusive. As infrastructure improves, platforms like MoonPay are making it easier for new users and developers alike to access blockchain ecosystems, especially those like Solana that emphasize performance and low fees. This synergy between accessibility and innovation is accelerating adoption across projects. Here are six major trends defining the future of Web3 development: 1. Layer-2 Scaling Solutions: 2. Interoperability Protocols: 3. Zero-Knowledge Proofs (ZKPs): 4. Decentralized Storage and Compute: 5. Smart Contract Security Automation: 6. Cross-Chain Development Tooling: The Web3 developer ecosystem is no longer experimental it’s becoming foundational. Those who master these tools early will shape the digital infrastructure of the future internet.  ( 6 min )

Everyone loves declaring jQuery dead. ~78% of the top 1M sites (W3Techs) and hundreds of millions of websites total. So maybe the real question isn’t “why is jQuery still alive?” Why do we expect old code to disappear just because we found a cooler way to write new code? After a five-year break, I’m returning to the conference stage. On November 19th, I’ll be speaking at JS Poland about practical strategies for migrating legacy frontend systems to modern architectures. To lead up to the talk, I’m publishing a short series of articles on legacy code, refactoring, and incremental migrations — this is the first one in the series. If you’ll be there, feel free to say hi — I’m always up for a good legacy-code war story 🛠️. installed. jQuery isn’t winning the frontend race. COBOL in finance …  ( 9 min )

A multithreaded, identity-rotating, resilient file fetcher built for covert red team reconnaissance and data exfiltration over Tor. 🔥 Written with OPSEC in mind • By toxy4ny • For Hackers Who Like To Stay Unseen When you're operating in hostile environments—whether during internal pentests, adversary simulations, or covert intel gathering—you can't afford to leave traces. Every HTTP request is a potential fingerprint. Every static IP is a liability. Enter KAPLAN (tdd): a Python utility engineered for red teams who need to download sensitive documents, dumps, configs, or artifacts—anonymously, resiliently, and without revealing their true origin. Unlike generic downloaders, tdd: Routes all traffic over Tor using SOCKS5. Rotates Tor circuits before every download to avoid linkability. Hand…  ( 8 min )

Just put my hands on “mellea”, open-source from IBM for generative programming. Open source AI models are losing to ChatGPT because they lack the polished infrastructure that makes closed platforms easy to use. IBM’s new library, Mellea, aims to fix that. mellea is a library for writing generative programs 👍. Excerpt of mellea’s documentation; This project takes us back to the future of computing by formally introducing the concept of generative programs — software systems that strategically integrate calls to Large Language Models (LLMs) — and the demanding engineering required to make them reliable. The fundamental challenge we address is how to safely and predictably harness the powerful but inherently stochastic operations of LLMs within traditionally deterministic codebases. This do…  ( 13 min )

My 2025 Developer Tech Stack: From Code to Docs Emmanuel Mumba ・ Nov 5 #webdev #ai #programming #javascript  ( 5 min )

My 2025 Developer Tech Stack: From Code to Docs Emmanuel Mumba ・ Nov 5 #webdev #ai #programming #javascript  ( 5 min )

My 2025 Developer Tech Stack: From Code to Docs Emmanuel Mumba ・ Nov 5 #webdev #ai #programming #javascript  ( 5 min )

This Article provides a streamlined approach to automate Docker image tagging using versioning strategies. It supports two main versioning approaches: Semantic Versioning Timestamp-based Versioning Usage in Docker After configuring Semantic/DateTimeStamp versioning, you can use it in docker like the following docker build -t "imagename:$(pyv)" . #build docker image with semantic versioning docker push "username/imagename:$(pyv)" #push docker image created with semantic versioning docker build -t "imagename:$(dtsv)" . #build docker image with TimeStamp based versioning Docker Image Reference Structure 🔹 REGISTRY_HOST:PORT (Optional): Specifies the hostname (and optional port) of the Docker registry. myapp:1.0.0 (semantic version) myapp:2025_10_14_1200 (timestamp-ba…  ( 8 min )

BoolSkel: Unlocking Boolean Network Efficiency Through Structural Pruning Ever felt lost in the weeds of a massive logical circuit or complex regulatory network? Imagine trying to decipher a wiring diagram where redundant connections obscure the core functionality. Many systems, from digital circuits to gene regulatory networks, can be represented as Boolean networks, but their complexity often hinders analysis and optimization. The concept is simple: focus on the critical dependencies within a Boolean network by systematically reducing redundant or homogeneous patterns. We developed a “skeletonization” approach, BoolSkel, that identifies and removes unnecessary elements, revealing the underlying functional structure. Think of it like pruning a tree – removing dead branches to encourage …  ( 7 min )

The Graveyard of Great Ideas Every developer has one — a folder filled with unfinished SaaS projects. Some barely made it past npm init. Others reached “almost ready” before hitting a wall. I used to joke that my GitHub was a cemetery of great intentions. But over time, I realized it wasn’t a joke. It was a pattern. Why do so many developers, even skilled ones, never finish their SaaS? It’s not lack of skill. It’s not even lack of time. It’s a slow leak of momentum — one setup file, one API integration, one bug at a time. When you start a SaaS project, the excitement is electric. You’re designing features, imagining your first user, maybe even sketching a pricing page. Then reality hits. You spend two days wiring authentication. Three more configuring payments. Another week build…  ( 8 min )

Hey everyone 👋 Anwaarul Haque, a Technical Lead and the creator of the Utho Community Plugins — a growing collection of open-source tools designed to make cloud development faster, safer, and developer-friendly. Today, I’m excited to introduce one of our latest releases: @utho-community/object-storage A lightweight Node.js package that simplifies working with object storage services like AWS S3, DigitalOcean Spaces, and others — all through a unified API. 🌩️ Why I Built It Every time I built a SaaS or infrastructure-based project, I found myself re-writing the same boilerplate for uploading, downloading, and deleting files from cloud storage. So I built @utho-community/object-storage to solve this problem once and for all. ⚙️ Installation You can install it directly from npm: npm install…  ( 7 min )

If you are looking to add images to pdf in java you have a couple of options: Insert an image as an annotations Insert an image into the page content stream This article explores the pros and cons of each method and how to perform them in Java. Using annotations to insert images allows for interactivity, which lets users click, move, or delete them. This may or may not be desirable based on your use case. Annotations also provide separation of concerns, which is ideal for markup, comments, or highlights. One of the main caveats with annotations is that they may be ignored by some printers or PDF viewers, resulting in different rendering experiences on different systems. Inserting an image directly into the page content stream allows for greater control and reliability over the output. All…  ( 7 min )

Many students are discovering that their laptops and smartphones can do more than stream or study—they can contribute to real AI workloads and receive rewards for it. Picture this: you’re a student with a decent laptop or phone—something you already use for coursework, projects, or gaming. Now imagine that same device helping run AI workloads for global projects, and in return, you receive NLOV token rewards—a digital acknowledgment for contributing useful compute power. That’s what’s happening through Neurolov’s decentralized compute network, called NeuroSwarm. It’s not about quick profit—it’s about smart participation in an emerging technology field, using resources you already own. 2.1 AI is booming—but compute is the bottleneck AI workloads—from image generation to large-language model…  ( 8 min )

The healthcare industry is undergoing a massive digital transformation, and artificial intelligence (AI) sits at the very core of it. From remote patient monitoring to predictive diagnostics and smart hospital management, AI-powered healthcare applications are reshaping how medical services are delivered, accessed, and managed. AI brings a new era of healthcare innovation. It doesn’t replace doctors—it augments their ability to deliver faster, more accurate, and more personalized medical care. AI systems analyze patient data, identify potential health risks, automate administrative tasks, and support clinical decisions with data-driven insights. • Rising demand for remote and digital healthcare services Improved Diagnostic Accuracy Personalized Treatment Plans Real-Time Patient Monitor…  ( 9 min )

For decades, marketers have sought to understand what truly drives consumer choice — why people prefer one product over another, why certain ads make us feel something, or why a brand becomes part of our identity. Traditional marketing relied on surveys and focus groups, but those methods often only scratched the surface. Today, Artificial Intelligence (AI) and neuro-marketing are unlocking the hidden layers of consumer behavior — revealing not what people say, but what they feel. By analyzing brain activity, biometric signals, and emotional responses, AI-driven neuro-marketing provides data-backed insight into how humans perceive, decide, and connect. It’s the next frontier of marketing psychology — and it’s changing how brands create messages that truly resonate. Neuro-marketing combines…  ( 8 min )

Introduction As a technical blogger who hosts their own blog, one of the most frustrating things is that Google and Bing's crawlers take their own time to crawl and index the latest articles. They mention that they will crawl daily, but often they don't, and new articles don't get indexed instantly. Initially, when I published content on my websites, surajon.dev and easywrite.dev, the articles were visible on the site, but there was a delay before they were indexed by search engines. This can be detrimental, as you might miss out on trending topics, or the page might not get indexed at all. That's where IndexNow comes in. It's a simple protocol that has fundamentally changed my publishing workflow. Instead of waiting for search engines to come to me, I now tell them the instant a new a…  ( 8 min )

Exploring Backend Development with Rust and Go: Insights from Web Developer Travis McCracken As a passionate Web Developer focusing on backend systems, I’ve had the opportunity to experiment extensively with both Rust and Go—two languages that have significantly shaped the way we build scalable, high-performance APIs. Over the years, combining the strengths of these languages has allowed me to develop fast, reliable, and maintainable backend solutions that meet modern application demands. Rust has gained tremendous popularity among backend developers like myself who prioritize safety, concurrency, and performance. Its ownership model and strict compiler checks eliminate common bugs such as null pointer dereferences and data races, enabling the creation of robust servers that can handle hea…  ( 8 min )

As developers, we love to build and automate. So why are so many of us still manually handling the tedious tasks of running a tech blog? We spend hours proofreading, wrestling with keyword research, and manually formatting posts. That’s time that could be spent coding, experimenting with new tech, or working on our actual projects. I decided to apply a developer's mindset to my content workflow: If a task is repetitive, automate it. The result? I reclaimed over 10 hours a week. Here's a breakdown of the types of free AI tools I used to build a content engine. Think of these tools as a linter for your writing. They catch grammatical errors, suggest clearer phrasing, and ensure your tone is consistent. You wouldn't push code without running a linter; don't publish a post without a final check. Top Tool: Grammarly’s free tier is perfect for this. It integrates everywhere and provides real-time feedback. SEO isn't magic; it's a set of technical requirements. Instead of manually checking meta tags, keyword density, and schema markup, you can use a tool to do it for you. Top Tool: If you're on WordPress, a plugin like AIOSEO handles this beautifully. It gives you a simple checklist to follow and automates the creation of XML sitemaps. Writer's block is a real issue, even for technical topics. AI content generators can function as a powerful API for ideas. You provide a keyword (e.g., "React server components"), and it returns a structured outline, common questions, and related topics. This is perfect for creating a content brief. A conceptual workflow might look like this:  ( 7 min )

If you've ever worked on an expanding PHP project, you've undoubtedly experienced the agony of features becoming tangled, logic dispersing among levels, and a once-clean codebase gradually becoming spaghetti. DDD is fundamentally about matching your software to the real-world domain it supports, or the business issue you're trying to solve. Let's first examine the essential elements that make DDD function before getting into the code: Entities are things (such as a user, order, or invoice) that have a distinct identity. Immutable objects that specify properties (such as EmailAddress, Money, or Address) are called value objects. Aggregates are collections of Value Objects and Entities that are handled as a single unit (Order with its OrderItems). Repositories: OrderRepository-style interfac…  ( 9 min )

The Problem Every developer knows the feeling: a pull request sits idle for days, reviewers juggling multiple branches, and small changes creating unexpected regressions. Our Hypothesis If large-language models can reason about text, they should also reason about code as language. Static analysis for structural accuracy LLM-based semantic reasoning for intent and logic QA test signals for coverage gaps Designing the Architecture Data Flow Source events: Each PR triggers a lightweight collector that fetches the diff, metadata, and linked Jira story. Semantic parsing: We tokenize the diff and the story description, then feed them through an NLP model fine-tuned on code+requirement pairs. Context alignment: The model maps code segments to user stories to check whether the implementation align…  ( 8 min )

TL;DR Jeff Su’s video unveils four game-changing ChatGPT hacks that’ve cut his AI workflow in half: Prompt Reversal – reverse-engineer your best prompts. 5-Minute Amplifier – turn one idea into blogs, tweets, emails, you name it. Red Team Technique – get ChatGPT to critique its own output. Blueprint Scaffolding – force it to outline its reasoning before generating the final answer. Each method comes with real-world examples you can try today—no fluff, just instant productivity boosts. Watch on YouTube  ( 6 min )

Intro; The company needs storage for their offices and departments. This content is private to the company and shouldn't be shared without consent. This storage requires high availability if there's a regional outage. The company wants to use this storage to back up the public website storage. Create a storage account for the company private documents. Create a storage account for the internal private company documents In the portal, search for and select Storage accounts. Select + Create. Select the Resource group created in the previous lab Set the Storage account name to private. Add an identifier to the name to ensure the name is unique. Select Review, and then Create the storage account. Wait for the storage account to deploy, and then select Go to resource. This s…  ( 7 min )

Learn full stack web development with a hands-on, free course covering modern tools and best practices: React, Node.js, GraphQL, testing, CI/CD, and more. Project-driven — build real apps from day one Covers frontend + backend + deployment Updated curriculum reflecting current industry trends 🔗 fullstackopen.com  ( 6 min )

Ever ordered food online and wondered how your favorite app knows exactly what you want and delivers it (almost) magically? That’s APIs at work — the invisible messengers between your app and the server. Now, two of the most popular API styles are RESTful API and GraphQL — but which one is better? Let’s dive in (without frying your brain). REST (Representational State Transfer) is like ordering pizza over the phone. You call the restaurant (server), tell them what you want (data), and they deliver it in a nice box (JSON response). Simple and familiar! How it works: You use HTTP methods like GET, POST, PUT, and DELETE. Each resource (like users or products) has its own unique URL. The server decides what data to send back. Example: GET /api/users/1 → returns data for user with ID 1. G…  ( 8 min )

In a more practical sense, AI has come to be seen as an ingredient in the food industry; in fact, it is an unseen chef in the kitchen preparing the necessary ingredients to ensure smooth operations, analyzing conditions, prophecies of disease spread for an entire crop, and managing the traffic route for delivery in one of the busiest cities in the world. The increasing demand for food is putting a strain on the supply chains, farmers, and delivery platforms worldwide. AI in food industry is changing this scene-at least from farm to fork-instead of just ensuring freshness, cutting waste, and making that very journey as smart as possible. Because the smarter food production foundation begins on the farm, artificial intelligence is causing the shift from traditional practices to data-informed…  ( 11 min )

🧠 Introduction In cloud engineering, storage is one of the most essential building blocks. Whether it’s hosting application data, training environments, or prototypes, every department needs flexible and secure storage options that can adapt to their needs. In this exercise, I worked on a hands-on project for an IT department that needed a simple and changeable storage setup for testing and training purposes. The data wasn’t business-critical — meaning backups and recovery weren’t a major concern — but the goal was to prototype different storage scenarios and train new personnel efficiently. To achieve this, I designed a lightweight cloud storage configuration using Microsoft Azure Storage, focusing on three key steps: Establishing a consistent naming convention, Creating a storage acco…  ( 7 min )

CanvasJS enables interactive charts for web apps. Adding a custom context menu on right-click allows quick actions like printing or exporting. In this guide, we'll implement one using a monthly sales column chart demo. It's straightforward and customizable. Context menus boost UX by providing an intuitive, native feel, right-clicking works just like in desktop apps. They also promote efficiency by hiding advanced features until needed, which keeps your charts looking clean and uncluttered. Plus, they're highly flexible, letting you extend them for things like exports, data tweaks, or even dynamic annotations without complicating the interface. To follow along, you'll need a basic grasp of HTML, CSS, and JavaScript, along with the CanvasJS Chart library. To demonstrate, we'll use a basic mu…  ( 8 min )

Many students today are stuck between choosing Software Engineering or Data Science. And honestly, I understand why. For years, Software Engineering was seen as the safe and guaranteed tech career. But in 2025, the world has changed. AI has reshaped the industry, companies have changed what they look for, and the job market is not the same anymore. If you choose based on old advice, you might be preparing for a world that no longer exists. Let’s talk about this in a real and honest way. Most students pick Software Engineering because everyone else is doing it, or because they believe it has more job opportunities. But here’s the reality: the world is full of software graduates now, and competition is tougher than ever. On top of that, AI tools can now write code, build applications, and au…  ( 10 min )

Self-attention is one of the core ideas behind modern Transformer models such as BERT, GPT, and T5. Earlier models like RNNs and LSTMs processed words in order, making it difficult to learn long-range dependencies. Each word in a sentence is transformed into three vectors: Query (Q) – What the word is looking for Key (K) – What information the word exposes Value (V) – The actual information carried by the word The model computes similarity scores between words using dot products of queries and keys. In the sentence: "The cat chased the mouse", When focusing on the word “chased,” it may attend more to “cat” (the subject) and “mouse” (the object) Attention weights tell the model which words are relevant for understanding a given word Instead of one set of Q, K, and V, the model uses multiple heads. Learns long-range relationships easily Can process words in parallel (faster than RNNs) Works well for multilingual and domain-specific language tasks  ( 6 min )

Gemini CLI Best Practices: 10 Pro Tips You're Not Using Vladislav Guzey ・ Nov 5 #gemini #ai #google #programming  ( 6 min )

I’ve been using the Gemini CLI a lot lately for my coding projects. I really like how it helps me work faster right inside my terminal. But when I first started, I didn’t always get the best results. Over time, I’ve learned some simple tricks that make a huge difference. If you use the Gemini CLI, I want to share my top 10 pro tips. If you are ready, then let’s get started. This is a super important step I always do! Before I run the gemini command, I make sure I am already inside my project folder. This helps Gemini get the right view of my code and load the right GEMINI.md file. It saves me time and helps keep other files, which are not part of the project, private. Gemini itself tells you to be specific for the best results, and I agree. Poor prompts often fail because they lack context…  ( 14 min )

Ditch the Database Drama: Why Serverless Databases Are a Game Changer Ever felt like managing a database is like babysitting a grumpy toddler? You have to constantly check on it, feed it resources, and make sure it doesn't throw a tantrum (aka, crash). What if I told you there's a way to significantly reduce that database drama? Enter: Serverless Databases. Let's face it: managing traditional databases can be a real pain. You're responsible for: Provisioning: Guessing how much storage and computing power you'll need before you need it. Guess wrong, and you're either paying for unused resources or dealing with performance bottlenecks. Scaling: Manually adjusting resources as your application's needs change. A sudden surge in traffic can quickly overwhelm your database, leading to …  ( 8 min )

Look Outside just got a big update bringing a bunch of new creepy experiences Title: Look Outside Gets a Big Update with New Creepy Experiences Description: Look Outside, the survival horror RPG that shook me to the core, just got a big update that provides plenty of reasons to dip back into the game if you were looking for any. Update 1.5 brings new crafting recipes, new interactions with people in the apartment building — some familiar, some not — and big changes to the flooded basement area, along with a slew of other tweaks and bug fixes. If you haven't played Look Outside yet, it's a survival horror game with turn-based combat that was released on Steam in March. The game sees the player character Sam trapped in an apartment building for two weeks to ride out some strange, apocalyptic event happening outside. The weirdness, of course, makes its way inside too, and you'll find yourself up against all sorts of body horror monstrosities and trying to figure out who you can trust. What makes Look Outside so special is the art, music, and story that come together to create an all-around masterpiece. I haven't been able to stop yapping about it since I played it for the first time back in April. It's one of those games that's just made to be played over and over. If you haven't picked it up yet, there's no time like the present. With the latest update, Look Outside is even more engaging and immersive than ever before. So why not give it a try and see for yourself? 📌 Based on insights from [source] This article was enhanced for better detail.  ( 7 min )

API testing has evolved from a solo developer activity into a critical team collaboration challenge. Modern development teams need tools that don't just test endpoints—they need platforms that unite designers, developers, QA engineers, and product managers around a shared API workflow. The difference between successful API projects and chaotic ones often comes down to one factor: how well your team collaborates around API development. The right tool transforms scattered workflows into streamlined processes where everyone works from the same source of truth. Before diving into specific tools, let's establish what makes an API testing platform truly team-ready: Real-time collaboration with shared workspaces and live editing Unified documentation that stays synchronized with tests and specifi…  ( 9 min )

Transform Your Sales Research with AI Automation Your pipeline lives or dies by the quality of your prospecting. Manual research cripples momentum - it's slow, error-prone, and, let's face it, soul-sucking. But what if you could spin up a workflow that mines the web for company data, LinkedIn profiles, pricing info, and more with a single click? That's not science fiction. It's what the right AI sales prospecting tool delivers. Here's the story: You're about to assemble a toolkit that turns chaos into clarity. You'll use n8n as your automation backbone - think of it as a robot butler for workflows. SERPAPI becomes your digital detective, scouring Google for prospects while you focus elsewhere. Google Sheets acts as your organized memory - no more lost leads or forgotten notes. And OpenAI p…  ( 13 min )

I’ve compiled a hands-on Python Web Scraping & Data Extraction repository that walks you from beginner to advanced projects. Learn to extract data from websites, interact with APIs, clean and store it, and even visualize it with charts. Check out the full repo here: https://github.com/b5119/python-web-scraping-projects  ( 6 min )

Tracking attendance may sound HR-ish, but in dev teams, especially distributed, hybrid, or remote, it’s a key productivity lever. When you know who’s working when, across what tasks or projects, you can align capacity, reduce blockages, detect time drift, and keep sprints on schedule. Below are five strong tools that dev teams may consider in 2026. What it does TMetric is primarily a time tracking and attendance management software that supports project time, attendance, timesheets, and integrates with many developer tools. For instance, it supports attendance tracking, time off management (PTO), team dashboards, detailed reports, and integrations with dev tooling such as Jira, GitHub, Trello, etc. Why dev teams will like it Built with developers in mind: Task-based with integrations into…  ( 9 min )

Google Chrome is testing a brand-new Split Tabs feature - and it’s a total productivity boost! ⚡ Instead of juggling multiple windows, you can now view two tabs side-by-side in the same window. Perfect for: 🔧 How to try it: Open chrome://flags Search for Split Tabs or Side-by-Side Enable it and restart Chrome Right-click a tab → “Split tab with…” 💡 It’s still experimental, but it already feels like a game-changer for focused workflows. Split Tabs might just be the productivity boost we needed to cut the window chaos. 💫  ( 6 min )

Learn four advanced ChatGPT methods to streamline your AI work: Prompt Reversal for reverse-engineering your best prompts, the 5-Minute Amplifier to spin one idea into blogs, tweets or emails, the Red Team Technique to have the AI poke holes in its own answers, and Blueprint Scaffolding to force it to outline its logic before diving in. Each tactic comes with real examples you can use today, and together they’ve cut my AI workflow time by more than half—no matter your role or industry. Watch on YouTube  ( 6 min )

The surprising truth is that even experienced developers sometimes deliver subpar frontends. It's not because of a lack of skill or effort. The reality is that the frontend landscape is progressing at a pace that many teams struggle to keep up with. By 2026, users will demand speed, clarity, and seamless workflows making these factors crucial for SaaS success. Five modern frameworks are emerging to tackle these challenges. They offer lighter packages, quicker rendering times, and developer experiences designed to simplify rather than complicate. Many teams still design their products with code in mind rather than the end user. Developers focus on: Architecture Animations New libraries Perfect component patterns However, users prioritise: Speed Clear actions Low friction As a result, dashbo…  ( 9 min )

Everything Wrong With Longlegs In 24 Minutes Or Less takes a frantic dive into Nicolas Cage’s over-the-top antics in Longlegs—just in time to hype Osgood Perkins’ upcoming thriller Keeper. Expect snarky calls to sin-count every cinematic misstep and plenty of shout-outs to the CinemaSins crew and their other YouTube channels. On top of the film roast, you’re invited to fill out a “sinful” poll, back the team on Patreon, and join the CinemaSins community via Discord, Reddit, TikTok, Instagram, and more—all neatly linked for your binge-watching pleasure. Watch on YouTube  ( 6 min )

Sector HQ Weekly Digest - November 5, 2025 Who's shipping vs who's shitposting? Here's this week's AI industry intelligence. OpenAI - Score: 392431.5 | 343 events this week Nvidia - Score: 171267.1 | 161 events this week Google - Score: 143360.2 | 125 events this week Microsoft - Score: 132233.7 | 99 events this week Anthropic - Score: 112467.4 | 51 events this week Amazon - Score: 99194.5 | 22 events this week Meta - Score: 93110.7 | 61 events this week Apple - Score: 82264.4 | 94 events this week IBM - Score: 56145.5 | 14 events this week AMD - Score: 49969.0 | 43 events this week ↑ Sony jumped 277 positions to #55 ↑ Stability AI jumped 183 positions to #49 ↑ Bytedance jumped 143 positions to #45 ↑ Scale AI jumped 122 positions to #61 ↑ Palantir jumped 107 positions to #30 No high BS alerts this week Total companies tracked: 100 Total events this week: 1325 Average activity per company: 13.3 events The AI industry continues to evolve rapidly. Companies that ship consistently rise in our rankings, while those focused on hype alone get flagged by our BS detector. Methodology: Our leaderboard tracks real product releases, funding events, partnerships, and market traction - not just PR and social media buzz. Want real-time updates? Check out the live leaderboard at sectorhq.co Track specific companies and get instant alerts when they move in the rankings. Tags AI #ArtificialIntelligence #MachineLearning #TechIndustry #Startups #AILeaderboard  ( 6 min )

Everything Wrong With Sinners In 15 Minutes Or Less CinemaSins is back with a Halloween special, gleefully roasting “one of the greatest genre movies of all time” in under 15 minutes. Expect their trademark sin-counting, witty commentary, and plenty of fun nitpicks as they dive into what makes this flick so delightfully flawed. Alongside the video, they’re plugging all their channels—website, Linktree, poll, Patreon, Discord, Reddit—and even Jeremy’s book. Featuring writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, and Daniel, it’s the ultimate guilty pleasure for film nerds. Watch on YouTube  ( 6 min )

TL;DR CinemaSins just dropped “Everything Wrong With Predator: Killer of Killers In 16 Minutes Or Less,” a rapid-fire roast of the new animated Predator flick, counting every hilarious nitpick and facepalm moment. They also hype up their main site and spin-off YouTube channels, invite you to fill out a sinful poll, and ask for Patreon love. The credits roll with writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel, plus links to their Discord, Reddit, book, Instagram and TikTok. Watch on YouTube  ( 6 min )

Introduction In the world of web development, performance is key. When it comes to React applications, optimizing performance is crucial to ensure a smooth user experience. Let's delve into some strategies to boost the performance of your React applications. React's Virtual DOM is a lightweight copy of the actual DOM. By using the Virtual DOM, React can efficiently update the real DOM by only making necessary changes. However, excessive re-rendering can impact performance. Utilize shouldComponentUpdate or PureComponent to prevent unnecessary re-renders. class MyComponent extends React.PureComponent { render() { return {this.props.data} ; } } Break down your application into smaller chunks and load them dynamically when needed. This reduces the initial load time and improves performance. React.lazy and Suspense are great tools for code splitting. const MyLazyComponent = React.lazy(() => import('./MyLazyComponent')); Memoization is a technique to optimize performance by storing the results of expensive function calls and returning the cached result when the same inputs occur again. Use useMemo and useCallback hooks to memoize values and functions. const memoizedValue = React.useMemo(() => computeExpensiveValue(a, b), [a, b]); Identify components that do not need to re-render frequently and optimize them. Use React.memo for functional components to prevent re-renders unless props change. const MyMemoComponent = React.memo(function MyComponent(props) { return {props.data} ; }); Leverage tools like React DevTools and Chrome DevTools to analyze the performance of your React application. Identify bottlenecks and areas for improvement by profiling components and their rendering times. By implementing these performance optimization techniques in your React applications, you can significantly enhance speed and efficiency, providing users with a seamless experience. Stay ahead in the game by prioritizing performance optimization in your development workflow.  ( 8 min )

Excited to share that I’m officially diving into the world of DevSecOps — learning how to build, secure, and automate modern applications from development to deployment. It’s time to explore tools, pipelines, cloud infrastructure, and security best practices that make software faster, safer, and smarter. Let’s see where this journey leads 💪  ( 6 min )

Article 1: The Importance of Choosing the Right Web3 Development Company  ( 6 min )

Tableau Filtering Actions Made Easy: Origins, Real-World Applications, and Case Studies Dipti ・ Nov 5 #webdev #ai #programming #blockchain  ( 6 min )

Part 1: Beyond the Basics - The jQuery Philosophy You've used $(document).ready() and click() events. You've probably even played with animate(). But to truly master jQuery, you need to go beyond the syntax and understand its core philosophy. jQuery isn't just a library; it's a paradigm shift for front-end development. It's about elegance, efficiency, and expressing complex interactions with remarkable conciseness. Think of it this way: raw JavaScript is like crafting a bespoke piece of furniture from scratch – every joint, every nail, every polish. jQuery is like having a master carpenter's workshop at your disposal, with pre-built tools and components that allow you to assemble magnificent creations with minimal effort. The secret? It's all about the DOM manipulation at its heart. Many d…  ( 11 min )

A post by alvaro  ( 5 min )

Learn whether HashMap and ConcurrentHashMap in Java allow null keys or values. Understand why, with examples and best practices for safe coding. Imagine you’re organizing files in labeled folders. But what if one folder doesn’t have a label at all — it’s just blank? Can you still keep it in your cabinet and find it later? That’s the same question developers ask about Java’s HashMap and ConcurrentHashMap — can you use a null key? Understanding how these two popular classes handle null keys and null values is crucial for writing robust and bug-free Java programs. It’s a small detail that often leads to NullPointerExceptions or confusing behavior if misunderstood. In this post, we’ll demystify how HashMap and ConcurrentHashMap treat null keys and values, why they differ, and how you should ha…  ( 9 min )

Java Packages are collections of classes, interfaces, and sub-packages. In Java, with the help of packages, we can group related classes. A package is like a folder inside the file directory. We use packages to avoid name conflicts and write more maintainable code. Packages allow developers to create software that is easier to maintain, scale, and extend by grouping relevant code. In addition to facilitating code reuse across projects and teams, packages also help maintain consistent naming conventions. In Java, a package is a directory that contains Java source code files. The package name corresponds to the directory name, and each Java file contains a class with a matching filename. For example, if your class is in a folder called com/example, and the class name is ClassName, then …  ( 12 min )

Wat je zal leren Wat is de Pod Pending State?. Een pod is de basis eenheid van deployment waar container draait. Normaal gaan pods snel van eerste creatie naar de running state. De levenscyclus van een Pod beschrijft de verschillende fases die een Pod doorloopt van creatie tot einde. Maar soms blijft de Pod vast in de Pending state. Dit betekent dat het Pod API object bestaat, maar de workload draait niet. Dat betekent dat geen van de containers in de pod draait. Dit is omdat de scheduler de pod niet op een node heeft geplaatst. Hier zijn de verschillende oorzaken wanneer de scheduler geen pod kan plannen op een node: 1. Onvoldoende node resources (CPU / memory) Dit is een vaak fout die komt door een hogere pod resource vraag (CPU/Memory) dan een andere beschikbare node in de cl…  ( 9 min )

WTF is this: HashiCorp Nomad Imagine you're trying to manage a big, messy house with a million rooms, each with its own unique decorations and quirks. Now, imagine you have a magic assistant that can help you keep track of everything, make sure each room is running smoothly, and even automatically fix any problems that arise. Sounds like a dream, right? Well, in the world of tech, that magic assistant is kind of like HashiCorp Nomad. But what exactly is it, and why is everyone talking about it? What is HashiCorp Nomad? HashiCorp Nomad is a tool that helps companies manage and deploy applications across different environments, like data centers, clouds, and even edge devices. Think of it like a super-smart, automated "orchestrator" that makes sure all your apps are running correctly, wherev…  ( 11 min )

Building MeridianDB: Solving AI's Memory Crisis with Multi-Dimensional RAG Why I Built This When exploring cloud platforms, I don't just read documentation—I build something substantial. Recently, I dove deep into Cloudflare Workers, and I wanted to tackle a problem that's becoming critical in today's AI landscape: catastrophic forgetting. Traditional RAG (Retrieval-Augmented Generation) systems use vector databases to enhance AI outputs by storing data as embeddings—multi-dimensional vectors that machines can understand. When you search, the system transforms your query into vectors and performs similarity searches using mathematical distance calculations. This approach searches for meaning, not just text. But it fails to solve a fundamental problem in agentic AI: catastrophi…  ( 10 min )

Imagine a tool so smart, it takes just your website URL, reads your entire business the heart, soul, and style and then, without any human help, creates marketing campaigns that speak your voice. Sounds like something out of a scifi novel, right? Meet Pomelli, Google’s newest AI powered marketing marvel, ready to rewrite the rules of how businesses promote themselves. This isn’t magic. It’s artificial intelligence steeped in Google Labs and DeepMind innovation that reads your site’s words, images, and styles, then builds a unique profile called “Business DNA.” Using this blueprint, Pomelli creates tailored campaign ideas that capture exactly who you are. Imagine trimming weeks of agency meetings and brainstorming down to minutes. Pomelli might just make that possible by giving businesses …  ( 8 min )

Author: Abstract: Smalltalk-80 and introduces a modern reinterpretation named Smalltalk.js, built atop the LAW-T framework (Law-Time Programming). The objective is to extract and formalize the original semantic “laws” that defined Smalltalk’s philosophical purity—everything is an object, message passing, blocks, live coding, and class hierarchy—and re-express them in a time-labeled JavaScript environment. The work situates these principles within the broader context of software language markets, governance models, and auditable code evolution systems. In 1980, the researchers at Xerox PARC introduced Smalltalk-80, a language that became the progenitor of object-oriented programming. It pioneered features that are now considered fundamental to modern software systems: live programming envir…  ( 9 min )

.My journey as a Flutter/Dart underDogg  ( 5 min )

TL;DR This article explains why LLMs are useful tools, but calling them "AI" is dumb marketing bullshit that leads to bad decisions, wasted money, and unrealistic expectations. When I scroll through LinkedIn, Reddit, or various blogs, I always read the same annoying phrases about our future: AI will soon replace nearly every engineer, will change the world, or, depending on who's talking, enslave us. AI is just a marketing slogan. Because this is what marketing does. It shouts loud and sells smoke and mirrors. What we call AI technically is only a simulation of "intelligence." Take Large Language Models, for example. Not magic, not conscious, not smart. Large: the immense amount of data it has been trained on. Language: the primary function is to process and generate human language. Mode…  ( 11 min )

Hello! Folks! We continue our series of articles about AI (Artificial Intelligence) and how to use it. Today's article will be more theoretical. We will try to figure out what models are, their types, how to use them, and what features they have. I hope you find it interesting, so let's go! And so, as usual (as it seemed in school), let's understand the concept of AI models. When you hear "AI model," it might seem like we're talking about something like a robot that thinks like a human. But in reality, it's much simpler (and more complex at the same time). An AI model is a mathematical construct that has been trained on data to later predict, classify, or even generate new texts, images, or codes. For example, if you use a translator, get recommendations on Spotify, or filter spam in you…  ( 11 min )

If you're learning C# or exploring .NET, you've probably heard the terms managed code and unmanaged code. This post breaks down what they mean, how they differ, and why it matters — using real-world analogies and examples. 🔧 What Is Managed Code? Managed code is code that runs under the supervision of a runtime environment — in C#, that’s the .NET Runtime (CLR). Automatic memory management (garbage collection) Type safety and security Exception handling Cross-platform support 🏢 Real-world analogy: Managed code is like living in a smart apartment — the system handles electricity, plumbing, and security for you. 🧠 What Is a Runtime Environment? A runtime environment is software that manages the execution of programs written in certain languages.You can install them from their official websites.Once installed, they allow you to run and build applications in that language. 🧱 What Is Unmanaged Code? Unmanaged code runs directly on the operating system without a runtime managing it. You’re responsible for memory, safety, and cleanup. ❌ Features of Unmanaged Code: Manual memory management No built-in safety or garbage collection Platform-specific 🏕️ Real-world analogy: Unmanaged code is like building your own cabin in the woods — you control everything, but you also maintain everything yourself. 📦 What Is an Assembly? Compiled code Metadata Optional resources 📦 Think of an assembly as a software package that the .NET Runtime knows how to run.  ( 6 min )

This is a submission for Frontend Challenge - Halloween Edition, CSS Art. The idea came from imagining an old spooky mansion that seems to watch you as you move — inspired by classic Halloween tales and atmospheric pixel art games. The goal was to make something that feels alive without heavy JS — just CSS magic and creativity. 👉 Live Demo :- https://codepen.io/Manukumar10/pen/KwVZROM This project was a fun mix of creativity and problem-solving. CSS-only haunted house using clip-path & gradients Glowing moon with layered shadows Animated drifting clouds & flickering windows Parallax motion on cursor move (tiny JS) Accessible and responsive design HTML, CSS (gradients, keyframes, clip-paths, blend modes), This project was a fun mix of design and code — using CSS to build a living, breathing haunted house scene. It reminded me how powerful simple web tools can be when mixed with creativity. Happy Halloween, and good luck to everyone joining the challenge! 🎃  ( 6 min )

I made two Python custom components in Langflow 🤷‍♂️ (Excerpt from Langflow’s site and GitHub repository) Langflow is a powerful tool to build and deploy AI agents and MCP servers. It comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools. Visual builder interface to quickly get started and iterate. Source code access lets you customize any component using Python. Interactive playground to immediately test and refine your flows with step-by-step control. Multi-agent orchestration with conversation management and retrieval. Deploy as an API or export as JSON for Python apps. Deploy as an MCP server and turn your flows into tools for MCP clients. Observability with LangSmith, LangFuse and other integrations. Enterprise-ready security a…  ( 15 min )

4 Next-Level ChatGPT Techniques (Save 15+ Hours Weekly) Boost your ChatGPT game with four power moves: Prompt Reversal Technique to reverse-engineer your best prompts 5-Minute Amplifier to spin one piece of content into blogs, tweets, and more Red Team Technique so AI critiques and improves its own work Blueprint Scaffolding to force ChatGPT to outline its reasoning before executing These hacks, demonstrated with real examples, have cut my AI workflow time in half—no matter your role or industry. Grab the free ChatGPT ebook, dive into the detailed blog post, or join the AI Course waitlist to start saving 15+ hours every week. Watch on YouTube  ( 6 min )

TL;DR: I built a feedback loop where every AI code review either fixes the code or evolves the rule — creating a self-improving system that keeps our team’s standards alive as both humans and AI adapt. In other words, it's a system that evolves with you, not just for you. This article introduces a framework I call The Red Queen Code Review Pattern — a way to make code reviews self-evolving through human-AI collaboration. In evolutionary biology, the Red Queen Hypothesis describes a race with no finish line. “It takes all the running you can do, to stay in the same place.” Biologists use this idea to explain how species must constantly evolve just to survive, because their environment — and everything competing within it — is also evolving. In AI-powered development, we face the same dynami…  ( 11 min )

Stop Building for "Scale." You Don't Have Users Yet. Shayan ・ Sep 4 #webdev #programming #javascript #ai  ( 5 min )

Everything Wrong With Predator: Killer of Killers in 16 Minutes Or Less is CinemaSins’ latest snarky take on the new animated Predator flick, tearing into every nitpick at lightning speed. You can find it on their main channel or spin-offs like TVSins, CommercialSins, and the Cinemasins Podcast, plus a handy Linktree for all the freshest updates. They’ve even got a sinful poll to learn more about you and a Patreon if you want to back the team. Keeping the content rolling are writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, and Daniel (all active on Twitter or Instagram), and you can keep the conversation alive over on Discord, Reddit, Instagram, and TikTok. Oh, and don’t miss Jeremy’s book while you’re at it! Watch on YouTube  ( 6 min )

Predator 2 hops from the jungle to a sun-scorched, crime-ridden L.A. where Danny Glover takes the lead against a deadlier Predator (and yes, Gary Busey pops up). It’s a fun, off-kilter sequel if you’re cool with a different vibe than Schwarzenegger’s original. In this Caravan of Garbage review, the hosts lay out what works, what doesn’t, and where it strays from the classic. They also shout out bigsandwich.co for bonus vids, podcasts, commentaries and more. Watch on YouTube  ( 6 min )

Welcome to this comprehensive guide on deploying a Preact app using K3s locally! If you're new to web development, containers, or Kubernetes, don't worry—we'll start from the very basics and build up step by step. By the end, you'll have a fully functional Preact application running in a local Kubernetes cluster. This hands-on tutorial assumes no prior knowledge, so we'll explain every concept along the way. The basics of Preact (a lightweight React alternative) Introduction to containers and Docker Kubernetes fundamentals and why K3s is great for local development How to containerize and deploy an app locally Before we start, you'll need: A computer with Linux, macOS, or Windows (with WSL2 for Windows users) Basic command-line knowledge (we'll guide you through it) About 10-15 minutes of …  ( 9 min )

Vue.js is one of the most popular front-end frameworks for building modern web applications. One of its greatest strengths is its component-based architecture, which promotes reusability and maintainability. how should components communicate with each other efficiently? If not managed well, communication can quickly become messy, leading to tightly coupled components and difficult-to-maintain codebases. Why Component Communication Matters Data could become inconsistent across components. Debugging would be harder as multiple parts depend on each other. Adding new features could break existing functionality. By mastering Vue.js communication patterns, you ensure your app remains scalable, maintainable, and developer-friendly. “Programs must be written for people to read, and only incidental…  ( 10 min )

🧭 Overview In Joget, workflow tracking is essential for monitoring running or pending activities within business processes. This implementation allows you to track workflow activities by their activity names (e.g., those containing "validate request") by joining Joget’s workflow tables. The combination of SQL and DataList configuration provides an easy way to display: 🔢 Process IDs 🧾 Record IDs 👤 Pending Users ⚙️ Activity Details ⚙️ How It Works Here’s the breakdown of how the query and DataList integration work together: 🧩 SHKAssignmentsTable stores assignment-level workflow information. 🔗 wf_process_link maps workflow process instances to their originating form records. ⚙️ The SQL JOIN retrieves both workflow instance and record identifiers. 🔍 WHERE Activ…  ( 7 min )

AI is crowded now — every company wants to slap “AI-powered” on their product and call it revolutionary. But Grok AI, developed by xAI under Elon Musk, genuinely stands out. Not because of hype, but because it goes in a completely different direction than the polished, polite AI assistants we’re used to. Grok is built to be witty, sarcastic, unapologetic, and to answer the uncomfortable questions most chatbots dance around. It’s not here to act perfect. It’s here to act real — sometimes for better, sometimes for worse. Unlike most AI models that rely only on pre-trained datasets, Grok taps into real-time data from the web and live online conversations. So when something is trending right now, Grok knows it right now. Its personality is also intentional — rebellious, sharp, and occasionally…  ( 7 min )

You've hit this wall before. You're working on some complex modernization project with Claude Code or Amazon Q Developer CLI, and the agent starts losing coherence. Too much context. Too many domains. Architecture bleeding into security bleeding into performance optimization. The agent can't maintain focus. Your options have been to manually coordinate between separate agent sessions, copying context around like it's 2010. Or overload one agent with everything and watch quality degrade as the context window fills up. AWS to the rescue; they just released CLI Agent Orchestrator (CAO): multiple specialized agents working together under a supervisor. Hierarchical orchestration for your AI CLI tools. It's early, opinionated, and requires AWS infrastructure. But it shows where developer AI tool…  ( 9 min )

LeetCode: 1. Two Sum, Solución paso a paso Hoy quiero compartir cómo resolví el problema Two Sum de LeetCode. Es uno de los clásicos de entrevistas técnicas y me parece un excelente punto de partida si estás practicando lógica o estructuras de datos. Dado un arreglo de enteros nums y un entero target, se deben devolver los índices de los dos números cuya suma sea igual a target. El problema garantiza que siempre habrá una solución, y no se puede usar el mismo número dos veces. Entrada: nums = [2,7,11,15], target = 9 Salida esperada: [0,1] porque nums[0] + nums[1] = 2 + 7 = 9 1. Definiendo la función Primero definiré la función que recibirá el arreglo y el número objetivo: function twoSum(nums: number[], target: number): number[] { // La implementación irá aquí } Voy a usar un Map para guardar cada número junto con su índice. const map = new Map() Recorro el arreglo con un for, procesando cada número. for (let i = 0; i () for (let i = 0; i < nums.length; i++) { const complement = target - nums[i] if (map.has(complement)) { return [map.get(complement)!, i] } map.set(nums[i], i) } return [] } console.log(twoSum([2,7,11,15], 9)) // [0,1] console.log(twoSum([3,2,4], 6)) // [1,2] console.log(twoSum([3,3], 6)) // [0,1]  ( 7 min )

Let's face it, we write less and less code every day. Software engineering changed for good. That ship has sailed. And while we swing from "oh no, I'm going to lose my job soon" to "this clanker has no idea, of course I'm absolutely right", depending on the size and complexity of what we're building, we are not noticing what we are really losing. This one's short. Mostly because, despite growing up reading books, most of you now doomscroll your social media drug of choice and probably lost the attention span for more than a few lines of text. So if you made it this far, congrats! What I actually want to talk about is something different, and honestly, a bigger problem than we think. Those of you who enjoy programming will get this, back in the pre-AI days, coding felt like a craft. You'd h…  ( 8 min )

Stop Guessing, Start Finding: Your Ultimate Guide to the Java indexOf() Method Alright, let's talk about a scenario every coder faces. You've got a block of text—maybe it's a user's email, a log file, or some JSON data—and you need to find a specific piece of information inside it. Manually scanning through it? Absolutely not. That's what computers are for. In the world of Java, your best friend for this exact job is the String.indexOf() method. It's one of those fundamental tools that seems simple on the surface but is packed with more utility than you might realize. Getting a solid grip on it is a non-negotiable skill for any Java developer. So, whether you're just starting out or need a quick refresher, this guide is going to break down the indexOf() method for you. We'll go from "wha…  ( 10 min )

A start tag, content, and an end tag. Example: This is a paragraph. → Start tag This is a paragraph. → Content → End tag Together, they form a paragraph element Types of Elements: Block-level elements: Examples: , , , , Inline elements: Examples: , , , ,  ( 6 min )

In today’s fast-paced digital world, the demand for new software solutions is skyrocketing. Businesses of all sizes — from startups to global enterprises — need apps, websites, and automation tools faster than ever before. Yet, the shortage of skilled developers and the complexity of traditional coding often slow things down. This is where low-code and no-code development platforms are changing the game. These tools are democratizing software creation, empowering people with little to no technical knowledge to build powerful digital solutions. But what exactly are low-code and no-code platforms, and why are they reshaping the future of software development? Low-code and no-code platforms are visual development environments that allow users to create applications using drag-and-drop feature…  ( 8 min )

Introduction Implementing Microsoft Fabric can transform how your organization handles data analytics, integration, and insights. However, the success of this transformation largely depends on working with a trusted Microsoft Fabric Partner. These certified professionals ensure that every stage—from strategy to deployment—aligns with your business goals, helping you unlock Fabric’s full potential efficiently. Microsoft Fabric is an all-in-one analytics platform designed to unify your data, AI, and business intelligence. It integrates services like Power BI, Synapse, and Data Factory, making it easier to connect, transform, and visualize data. The platform includes: Data Engineering Data Factory Pipelines Data Science and AI Integration Real-Time Analytics Power BI for Visualization Worki…  ( 8 min )

Java hashCode() Explained: Why It's Your Secret Weapon for Speed Alright, let's talk about one of those Java concepts that everyone uses but few truly get: the hashCode() method. You've probably seen it—that little method that lives in the Object class, right next to its BFF, equals(). You might have even ignored those yellow squiggly lines in your IDE warning you to override it. But what if I told you that understanding hashCode() is literally the difference between writing slow, clunky code and building high-performance, scalable applications? It’s that important. So, grab your coffee, and let's demystify this thing once and for all. We're going to break it down, not with boring textbook definitions, but by understanding the "why" behind it. What is hashCode()? The 30-Second Elevator P…  ( 10 min )

In today’s competitive business environment, organizations are constantly searching for smarter ways to improve efficiency, reduce costs, and scale with confidence. Advancements in artificial intelligence (AI) have opened new doors for innovation, automation, and strategic decision-making. Businesses that once relied solely on manual processes and traditional analytics are now turning to AI consulting services to reshape their growth strategies. This is where AI Business Consulting becomes a driving force, helping companies unlock AI’s full potential through customized solutions. AI consulting services help companies identify areas where artificial intelligence can drive value. Rather than adopting AI tools blindly, organizations receive guidance on how to integrate data, automate workflow…  ( 8 min )

A post by Luca  ( 5 min )

Unlocking Data Relationships in Tableau: A Complete Guide to Correlation Analysis for Better Business Decisions Dipti ・ Nov 5  ( 6 min )

for install : See GitHub composer require saeedvir/laravel-modular INSTALLATION A powerful modular architecture package for Laravel applications that allows you to organize your codebase into independent, reusable modules with automatic discovery and zero configuration. ✨ Features 📦 Zero Configuration - Just run composer dump-autoload after creating modules ⚡ Performance Optimized - Built-in caching and lazy loading for production use ⚡ (saeedvir/laravel-modular 🆚 nWidart/laravel-modules) Peak memory: Improved by 23.1% and Memory usage improved by 10.2% 🎨 Complete Module Structure - Controllers, models, views, routes, migrations, translations 🔧 Artisan Commands - Comprehensive CLI tools for module management 📊 Performance Monitoring - Track module discovery and operation performance 🐛 Debug-Aware Logging - Respects APP_DEBUG for production-friendly logs 🧪 Testing Support - Built-in infrastructure for module testing 🎯 Laravel 11 & 12 - Full support for modern Laravel versions  ( 6 min )

When I first built my Firebase Cloud Messaging (FCM) notification system, I made a critical architectural mistake based on a fundamental misunderstanding of how Firebase tokens work. I treated them as user-specific when they're actually device-specific. This seemingly subtle distinction led to complex deduplication logic and unnecessary database overhead. Here's how I fixed it and what I learned about Firebase's token architecture. My initial implementation assumed a one-to-one relationship between users and push tokens. The logic seemed sound: each user logs in with a phone number, so I should group by phone number and pick the most recent token, right? Before Refactoring // notification.service.ts - Original Implementation async getValidPushTokens(lastSeq?: number): Promise<TokenResult[]…  ( 11 min )